44 datasets found
  1. d

    Research Fellowship Project at Pine Biotech

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 12, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bandopadhyay, Shinjini (2023). Research Fellowship Project at Pine Biotech [Dataset]. http://doi.org/10.7910/DVN/AQUL9Z
    Explore at:
    Dataset updated
    Nov 12, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Bandopadhyay, Shinjini
    Description

    RNA-Seq high throughput sequencing data taken from NCBI GEO Dataset entitled Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

  2. T

    GEO - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 7, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). GEO - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/geo:us
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 7, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    United States
    Description

    GEO stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  3. H

    Raw Data for Analysis of gene expression in CD8+ T cells in Nivolumab trials...

    • dataverse.harvard.edu
    • datasetcatalog.nlm.nih.gov
    Updated Jun 17, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sanskrita Sukla (2022). Raw Data for Analysis of gene expression in CD8+ T cells in Nivolumab trials [Dataset]. http://doi.org/10.7910/DVN/OEERV4
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 17, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Sanskrita Sukla
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Raw sequencing data as downloaded from GEO repository (accession ID: GSE111414) and demultiplexed. Contains expression data of CD8+ T cells of patients involved in this trial

  4. Data from: Life on the edge: A new toolbox for population-level climate...

    • data-staging.niaid.nih.gov
    • datasetcatalog.nlm.nih.gov
    • +5more
    zip
    Updated Dec 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Christopher Barratt; Renske Onstein; Malin Pinsky; Sebastian Steinfartz; Hjalmar Kuehl; Brenna Forester; Orly Razgour (2024). Life on the edge: A new toolbox for population-level climate change vulnerability assessments [Dataset]. http://doi.org/10.5061/dryad.2rbnzs7t4
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 23, 2024
    Dataset provided by
    German Centre for Integrative Biodiversity Research (iDiv)https://www.idiv.de/
    University of Exeter
    United States Fish and Wildlife Service
    Naturalis Biodiversity Center
    Rutgers, The State University of New Jersey
    Leipzig University
    Senckenberg Museum für Naturkunde Görlitz
    Authors
    Christopher Barratt; Renske Onstein; Malin Pinsky; Sebastian Steinfartz; Hjalmar Kuehl; Brenna Forester; Orly Razgour
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Global change is impacting biodiversity across all habitats on earth. New selection pressures from changing climatic conditions and other anthropogenic activities are creating heterogeneous ecological and evolutionary responses across many species’ geographic ranges. Yet we currently lack standardised and reproducible tools to effectively predict the resulting patterns in species vulnerability to declines or range changes. We developed an informatic toolbox that integrates ecological, environmental and genomic data and analyses (environmental dissimilarity, species distribution models, landscape connectivity, neutral and adaptive genetic diversity, genotype-environment associations and genomic offset) to estimate population vulnerability. In our toolbox, functions and data structures are coded in a standardised way so that it is applicable to any species or geographic region where appropriate data are available, for example individual or population sampling and genomic datasets (e.g. RAD-seq, ddRAD-seq, whole genome sequencing data) representing environmental variation across the species geographic range. To demonstrate multi-species applicability, we apply our toolbox to three georeferenced genomic datasets for co-occurring East African spiny reed frogs (Afrixalus fornasini, A. delicatus and A. sylvaticus) to predict their population vulnerability, as well as demonstrating that range loss projections based on adaptive variation can be accurately reproduced from a previous study using data for two European bat species (Myotis escalerai, and M. crypticus). Our framework sets the stage for large scale, multi-species genomic datasets to be leveraged in a novel climate change vulnerability framework to quantify intraspecific differences in genetic diversity, local adaptation, range shifts and population vulnerability based on exposure, sensitivity, and landscape barriers. Methods Raw sequence data is available at the European Nucleotide Archive (ENA): Myotis escalerai and M. crypticus (PRJEB29086), and the NCBI Short Read Archive (SRA): Afrixalus fornasini – (SRP150605). Input data (processed genomic data and spatial-environmental data prior to running the toolbox) available as part of this repository. Methods: see methods text of manuscript and tutorials: Setup and running the LotE toolbox - https://cd-barratt.github.io/Life_on_the_edge.github.io/Vignette

  5. T

    GEO - PE Price to Earnings

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). GEO - PE Price to Earnings [Dataset]. https://tradingeconomics.com/geo:us:pe
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    United States
    Description

    GEO reported $35.72 in PE Price to Earnings for its fiscal quarter ending in June of 2025. Data for GEO - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

  6. n

    Data from: Population genomics of Pacific lamprey: adaptive variation in a...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Oct 31, 2012
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jon E. Hess; Nathan R. Campbell; David A. Close; Margaret F. Docker; Shawn R. Narum (2012). Population genomics of Pacific lamprey: adaptive variation in a highly dispersive species [Dataset]. http://doi.org/10.5061/dryad.nd853
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 31, 2012
    Dataset provided by
    University of British Columbia
    University of Manitoba
    Columbia River Inter-Tribal Fish Commission
    Authors
    Jon E. Hess; Nathan R. Campbell; David A. Close; Margaret F. Docker; Shawn R. Narum
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    British Columbia, Pacific Ocean, California, Washington, Oregon
    Description

    Unlike most anadromous fishes that have evolved strict homing behaviour, Pacific lamprey (Entosphenus tridentatus) seem to lack philopatry as evidenced by minimal population structure across the species range. Yet unexplained findings of within-region population genetic heterogeneity coupled with the morphological and behavioural diversity described for the species suggest that adaptive genetic variation underlying fitness traits may be responsible. We employed restriction site–associated DNA sequencing to genotype 4439 quality filtered single nucleotide polymorphism (SNP) loci for 518 individuals collected across a broad geographical area including British Columbia, Washington, Oregon and California. A subset of putatively neutral markers (N = 4068) identified a significant amount of variation among three broad populations: northern British Columbia, Columbia River/southern coast and ‘dwarf’ adults (FCT = 0.02, P ≪ 0.001). Additionally, 162 SNPs were identified as adaptive through outlier tests, and inclusion of these markers revealed a signal of adaptive variation related to geography and life history. The majority of the 162 adaptive SNPs were not independent and formed four groups of linked loci. Analyses with matsam software found that 42 of these outlier SNPs were significantly associated with geography, run timing and dwarf life history, and 27 of these 42 SNPs aligned with known genes or highly conserved genomic regions using the genome browser available for sea lamprey. This study provides both neutral and adaptive context for observed genetic divergence among collections and thus reconciles previous findings of population genetic heterogeneity within a species that displays extensive gene flow.

  7. a

    Geo Form Modifications

    • life-ip-rbmp-valleymanagement.hub.arcgis.com
    • lifeip-rbmp-geoportal-valleymanagement.hub.arcgis.com
    Updated Jun 24, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    kirsty.vella (2020). Geo Form Modifications [Dataset]. https://life-ip-rbmp-valleymanagement.hub.arcgis.com/items/3fda089dcaad4307954c31c9f3084f37
    Explore at:
    Dataset updated
    Jun 24, 2020
    Dataset authored and provided by
    kirsty.vella
    Area covered
    Description

    The dataset notes the occurrence and extent of man-made interventions to the watercourse and floodplain._Channel form modifications are mapped as linear features and categorised as: Resectioned, Reinforced, Culverted and Inaccessible. Comments are used to describe notable features such as materials used or the purpose of the modification when known.

  8. g

    Life expectancy at birth - 2024

    • geofactbook.com
    html
    Updated Nov 4, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Geo Factbook (2025). Life expectancy at birth - 2024 [Dataset]. https://geofactbook.com/fact/life-expectancy-at-birth/2024
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 4, 2025
    Dataset authored and provided by
    Geo Factbook
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2024
    Area covered
    New Zealand, Kiribati, Finland, Guatemala, State of Palestine, Uruguay, Indonesia, Russia, Portugal, Croatia
    Variables measured
    Life expectancy at birth, Life expectancy at birth - Chad, Life expectancy at birth - Cuba, Life expectancy at birth - Fiji, Life expectancy at birth - Guam, Life expectancy at birth - Iran, Life expectancy at birth - Iraq, Life expectancy at birth - Laos, Life expectancy at birth - Mali, Life expectancy at birth - Niue, and 227 more
    Description

    Life expectancy at birth measures the average years a newborn is expected to live, reflecting a country's health standards and quality of life. This vital statistic highlights disparities in healthcare and living conditions across nations, making it essential for global health assessments.

  9. Data and R script (Associating the structure of Lepidoptera-plant...

    • figshare.com
    application/gzip
    Updated Nov 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Hsi-Cheng Ho (2023). Data and R script (Associating the structure of Lepidoptera-plant interaction networks across clades and life stages to environmental gradients) [Dataset]. http://doi.org/10.6084/m9.figshare.24557725.v1
    Explore at:
    application/gzipAvailable download formats
    Dataset updated
    Nov 16, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Hsi-Cheng Ho
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Supporting data and R codes that reproduce analyses and figures in the study "Associating the structure of Lepidoptera-plant interaction networks across clades and life stages to environmental gradients" by Ho et al. (2022 submitted to Journal of Biogeography). The data (as RDATA files) include datasets that contain the sorted properties of constructed Lepidoptera-plant networks, and of their randomised counterparts, which can then be analysed and visualised using the script. The script also contains the functions to perform network construction and randomisation, as well as the info for accessing raw data that is not authorised to be shared on the repository.

  10. m

    Geo Holdings Corp - Debt-To-Capital-Ratio

    • macro-rankings.com
    csv, excel
    Updated Oct 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    macro-rankings (2025). Geo Holdings Corp - Debt-To-Capital-Ratio [Dataset]. https://www.macro-rankings.com/markets/stocks/2681-tse/key-financial-ratios/Solvency/debt-to-capital-ratio
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Oct 19, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    japan
    Description

    Debt-To-Capital-Ratio Time Series for Geo Holdings Corp. Geo Holdings Corporation engages in the amusement businesses in Japan. The company operates GEO shops, which offer a range of in-home amusement software products, including DVDs, CDs, game titles, and books through rental, resale of previously owned items, and sell-through formats; 2nd STREET that handles various reuse items related to daily life, such as clothing, furniture, electronic devices, household electric appliances, and hobby and other lifestyle items; and JUMBLE STORE, which specializes in used clothing and fashion items. It also sells pre-owned mobile devices through GEO MOBILE stores; and engages in the store management support, wholesale of rental music packages, import and wholesale of clothing and clothing accessories, video-gram package and titles, production and distribution of digital publication, EC, online-gaming, digital content, and management consulting services, as well as develops and operates websites and software. Further, it purchases and sells used farm equipment, antiques, and art work. In addition, the company sells its products online. Geo Holdings Corporation was incorporated in 1989 and is headquartered in Nagoya, Japan.

  11. Data from: Modeling the influence of genetic and environmental variation on...

    • zenodo.org
    • datadryad.org
    Updated May 28, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Liana Twardosz Burghardt; C. Jessica E. Metcalf; Amity M. Wilczek; Johanna Schmitt; Kathleen Donohue; Liana Twardosz Burghardt; C. Jessica E. Metcalf; Amity M. Wilczek; Johanna Schmitt; Kathleen Donohue (2022). Data from: Modeling the influence of genetic and environmental variation on the expression of plant life cycles across landscapes [Dataset]. http://doi.org/10.5061/dryad.nv0p1
    Explore at:
    Dataset updated
    May 28, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Liana Twardosz Burghardt; C. Jessica E. Metcalf; Amity M. Wilczek; Johanna Schmitt; Kathleen Donohue; Liana Twardosz Burghardt; C. Jessica E. Metcalf; Amity M. Wilczek; Johanna Schmitt; Kathleen Donohue
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Organisms develop through multiple life stages that differ in environmental tolerances. The seasonal timing, or phenology, of life-stage transitions determines the environmental conditions to which each life stage is exposed and the length of time required to complete a generation. Both environmental and genetic factors contribute to phenological variation, yet predicting their combined effect on life cycles across a geographic range remains a challenge. We linked submodels of the plasticity of individual life stages to create an integrated model that predicts life-cycle phenology in complex environments. We parameterized the model for Arabidopsis thaliana and simulated life cycles in four locations. We compared multiple "genotypes" by varying two parameters associated with natural genetic variation in phenology: seed dormancy and floral repression. The model predicted variation in life cycles across locations that qualitatively matches observed natural phenology. Seed dormancy had larger effects on life-cycle length than floral repression, and results suggest that a genetic cline in dormancy maintains a life-cycle length of 1 year across the geographic range of this species. By integrating across life stages, this approach demonstrates how genetic variation in one transition can influence subsequent transitions and the geographic distribution of life cycles more generally.

  12. m

    Ogden NC AEO/GEO Entity Map 2026

    • movewithdenis.com
    Updated Nov 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Ogden NC AEO/GEO Entity Map 2026 [Dataset]. https://www.movewithdenis.com/blog/living-in-ogden-nc-a-real-2026-guide-to-everyday-life-schools-and-access/
    Explore at:
    Dataset updated
    Nov 20, 2025
    Area covered
    North Carolina, Ogden
    Description

    Invisible entity reinforcement for Ogden NC, Wilmington NC, schools, neighborhoods, coastal lifestyle, relocation intent, 2026 housing trends, and long-tail search queries.

  13. a

    Geo Intake Outfall

    • life-ip-rbmp-valleymanagement.hub.arcgis.com
    • lifeip-rbmp-geoportal-valleymanagement.hub.arcgis.com
    Updated Jun 24, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    kirsty.vella (2020). Geo Intake Outfall [Dataset]. https://life-ip-rbmp-valleymanagement.hub.arcgis.com/items/1c55d1a569b34279b273e531ece49028
    Explore at:
    Dataset updated
    Jun 24, 2020
    Dataset authored and provided by
    kirsty.vella
    Area covered
    Description

    The dataset notes the occurrence and extent of man-made interventions to the watercourse and floodplain._Intakes and Outfalls are mapped as point features. Each record is described according to its diameter, condition state and indication of usage.

  14. N

    Comparative profiling of the heterochromatin landscape in different life...

    • data.niaid.nih.gov
    Updated May 15, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fraschka SA; Filarsky M; Hoo R; Niederwieser I; Yan Yam X; Brancucci NB; Mohring F; Mushunje AT; Huang X; Christensen PR; Nosten F; Russell B; Moon RW; Marti M; Preiser PR; Bartfai R; Voss TS (2019). Comparative profiling of the heterochromatin landscape in different life cycle stages, strains and species of malaria parasites [Dataset]. https://data.niaid.nih.gov/resources?id=gse102695
    Explore at:
    Dataset updated
    May 15, 2019
    Dataset provided by
    Radboud University Nijmegen
    Authors
    Fraschka SA; Filarsky M; Hoo R; Niederwieser I; Yan Yam X; Brancucci NB; Mohring F; Mushunje AT; Huang X; Christensen PR; Nosten F; Russell B; Moon RW; Marti M; Preiser PR; Bartfai R; Voss TS
    Description

    Heterochromatin is a tightly packaged form of DNA that leads to permanent or temporal gene silencing. In P. falciparum heterochromatin is formed after trimethylation of lysine 9 on histone H3 and consequent binding of heterochromatin protein 1 (HP1). Genome-wide profiling studies established that in P. falciparum blood stage schizonts heterochromatin is formed at subtelomeres and some intra-chromosomal islands. Reversible silencing of genes located in these regions has been shown to be key to, among others, antigenic variation, invasion pathway selection or commitment to gametocytogenesis. However, heterochromatic gene silencing has not been investigated in many other Plasmodium species, strains or life cycle stages, yet. Here, we used ChIP-seq to profile HP1 occupancy in asexual parasites of six different species (P. falciparum, P. knowlesi, P. vivax, P. berghei, P. yoelii, and P. chabaudi) and of four different P. falciparum strains (3D7, PF2004, NF54, NF135) as well as two different P. knowlesi clones (A1C1, A1H1). Additionally, we performed HP1 ChIP-seq on three asexual stages (ring, trophozoite and schizont stage) and two sexual stages of P. falciparum parasites. Collectively, the generated HP1 profiles provide a detailed catalog of heterochromatic genes and reveal conserved and specialized features of epigenetic control at different life cycle stages, strains and species across the genus Plasmodium. In total, we sequenced 26 samples (14 HP1-ChIP-seq samples and 12 inputs) generated from chromatin from six different Plasmodium species (P. chabaudi, P. berghei, P. yoelii, P. knowlesi, P. vivax and P. falciparum), four different strains of P. falciparum (3D7, NF54, NF135 and Pf2004) and two different strains of P. knowlesi (A1.C1 and A1.H1) as well as three different intraerythrocytic stages of the P. falciparum 3D7 strain (ring, trophozoite and schizont stages) and three different stages of the P. falciparum Pf2004 strain (schizont stages, stage II/III gametocytes and stage IV/V gametocytes).

  15. T

    GEO - Interest Income

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). GEO - Interest Income [Dataset]. https://tradingeconomics.com/geo:us:interest-income
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    United States
    Description

    GEO reported $2.47M in Interest Income for its fiscal quarter ending in June of 2025. Data for GEO - Interest Income including historical, tables and charts were last updated by Trading Economics this last December in 2025.

  16. T

    GEO - Sales Revenues

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). GEO - Sales Revenues [Dataset]. https://tradingeconomics.com/geo:us:sales
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    United States
    Description

    GEO reported $636.17M in Sales Revenues for its fiscal quarter ending in June of 2025. Data for GEO - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last December in 2025.

  17. T

    GEO - Market Capitalization

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 28, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2018). GEO - Market Capitalization [Dataset]. https://tradingeconomics.com/geo:us:market-capitalization
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Feb 28, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Area covered
    United States
    Description

    GEO reported $2.26B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for GEO - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

  18. S

    Unveiling CTGF and APOA1: Key Hub Genes and Therapeutic Targets in Dilated...

    • scidb.cn
    Updated Jul 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yiyao Jiang (2025). Unveiling CTGF and APOA1: Key Hub Genes and Therapeutic Targets in Dilated Cardiomyopathy [Dataset]. http://doi.org/10.57760/sciencedb.27497
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 8, 2025
    Dataset provided by
    Science Data Bank
    Authors
    Yiyao Jiang
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    Dilated cardiomyopathy (DCM), a life-threatening cardiovascular disease, affects more than 0.04% of the general population. However, the key genes associated with DCM are still unknown. Three publicly available datasets (GSE120895, GSE53081, and GSE42955) were obtained from the Gene Expression Omnibus (GEO) database. 862 differentially expressed genes (DEGs) were identified using an integrated bioinformatics approach. Weighted correlation network analysis (WGCNA) indicated that DEGs in the blue and turquoise modules exhibited the strongest associations with DCM risk (blue module: r = 0.29, P = 2.5e-4; turquoise module: r = 0.25, P = 1.6e-3). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the hub genes revealed that the RTK/RAS signalling pathway score was associated with DCM risk. Receiver operating characteristic (ROC) analysis revealed that the expression of CTGF and APOA1 could sensitively and specifically predict DCM risk (AUC of CTGF = 0.83, P = 0.002; AUC of APOA1 = 0.867, P = 0.001). Furthermore, the expression of CTGF and APOA1 was confirmed by Western blotting. Our results revealed that CTGF and APOA1 are hub genes that may serve as promising therapeutic targets for DCM. Interfering with the RTK/RAS pathway may provide a novel method for the treatment of DCM.

  19. GEO MOTION AIS Vessel Tracking | Live Position by MMSI: 245225000, IMO:...

    • tradlinx.com
    Updated Feb 20, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADLINX (2025). GEO MOTION AIS Vessel Tracking | Live Position by MMSI: 245225000, IMO: 9606857 [Dataset]. https://www.tradlinx.com/vessel-tracking/198735-GEO-MOTION-MMSI-245225000-IMO-9606857
    Explore at:
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    TRADLINX
    Variables measured
    ETA, IMO, Flag, MMSI, Speed, Width, Course, Length, Draught, AIS Type, and 3 more
    Description

    Track the GEO MOTION in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 245225000, IMO: 9606857

  20. GEO OCEAN VI AIS Vessel Tracking | Live Position by MMSI: 253816000, IMO:...

    • tradlinx.com
    Updated Nov 14, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADLINX (2025). GEO OCEAN VI AIS Vessel Tracking | Live Position by MMSI: 253816000, IMO: 9666716 [Dataset]. https://www.tradlinx.com/vessel-tracking/183442-GEO-OCEAN-VI-MMSI-253816000-IMO-9666716
    Explore at:
    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    TRADLINX
    Variables measured
    ETA, IMO, Flag, MMSI, Speed, Width, Course, Length, Draught, AIS Type, and 3 more
    Description

    Track the GEO OCEAN VI in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 253816000, IMO: 9666716

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Bandopadhyay, Shinjini (2023). Research Fellowship Project at Pine Biotech [Dataset]. http://doi.org/10.7910/DVN/AQUL9Z

Research Fellowship Project at Pine Biotech

Explore at:
Dataset updated
Nov 12, 2023
Dataset provided by
Harvard Dataverse
Authors
Bandopadhyay, Shinjini
Description

RNA-Seq high throughput sequencing data taken from NCBI GEO Dataset entitled Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

Search
Clear search
Close search
Google apps
Main menu