2 datasets found
  1. Ocelli Tutorial 4: Exploring unimodal data

    • figshare.com
    hdf
    Updated Aug 9, 2023
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    Piotr Rutkowski (2023). Ocelli Tutorial 4: Exploring unimodal data [Dataset]. http://doi.org/10.6084/m9.figshare.22700065.v5
    Explore at:
    hdfAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Piotr Rutkowski
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Data for Tutorial 4 of Ocelli, available at https://ocelli.readthedocs.io. Includes processed data from the Gene Expression Omnibus under accession numbers GSE132188 [1] and GSE115943 [2]. [1] Bastidas-Ponce A, Tritschler S, Dony L, Scheibner K et al. Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis. Development 2019 Jun 17;146(12). [2] Schiebinger G, Shu J, Tabaka M, Cleary B et al. Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming. Cell 2019 Feb 7;176(4):928-943.e22.

  2. ocelli - tutorial 7

    • figshare.com
    hdf
    Updated Jan 29, 2025
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    Piotr Rutkowski (2025). ocelli - tutorial 7 [Dataset]. http://doi.org/10.6084/m9.figshare.28303937.v1
    Explore at:
    hdfAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Piotr Rutkowski
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Data for Tutorial 7 of Ocelli, available at https://ocelli.readthedocs.io. Includes processed data from the Gene Expression Omnibus under accession numbers GSE132188 [1] and GSE115943 [2].[1] Bastidas-Ponce A, Tritschler S, Dony L, Scheibner K et al. Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis. Development 2019 Jun 17;146(12).[2] Schiebinger G, Shu J, Tabaka M, Cleary B et al. Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming. Cell 2019 Feb 7;176(4):928-943.e22.

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Click to copy link
Link copied
Close
Cite
Piotr Rutkowski (2023). Ocelli Tutorial 4: Exploring unimodal data [Dataset]. http://doi.org/10.6084/m9.figshare.22700065.v5
Organization logoOrganization logo

Ocelli Tutorial 4: Exploring unimodal data

Explore at:
hdfAvailable download formats
Dataset updated
Aug 9, 2023
Dataset provided by
figshare
Figsharehttp://figshare.com/
Authors
Piotr Rutkowski
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

Data for Tutorial 4 of Ocelli, available at https://ocelli.readthedocs.io. Includes processed data from the Gene Expression Omnibus under accession numbers GSE132188 [1] and GSE115943 [2]. [1] Bastidas-Ponce A, Tritschler S, Dony L, Scheibner K et al. Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis. Development 2019 Jun 17;146(12). [2] Schiebinger G, Shu J, Tabaka M, Cleary B et al. Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming. Cell 2019 Feb 7;176(4):928-943.e22.

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