3 datasets found
  1. Luecken Cite-seq human bone marrow 2021 s4d8

    • figshare.com
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    Updated Oct 5, 2023
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    Single-cell best practices (2023). Luecken Cite-seq human bone marrow 2021 s4d8 [Dataset]. http://doi.org/10.6084/m9.figshare.24249433.v1
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    hdfAvailable download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Single-cell best practices
    License

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

    Description

    Dataset published by Luecken et al. 2021 which contains data from human bone marrow measured through joint profiling of single-nucleus RNA and Antibody-Derived Tags (ADTs) using the 10X 3' Single-Cell Gene Expression kit with Feature Barcoding in combination with the BioLegend TotalSeq B Universal Human Panel v1.0.All files stored in this entry are from sample 4 donor 8. Additional sample are available upon request.File descriptionfiltered_feature_bc_matrix.h5: Filtered feature-barcode matrix containing only detected cell-associated barcodes.raw_feature_bc_matrix.h5: Unfiltered feature-barcode matrix containing every barcode from the list of barcode sequences with at least one read, including background and cell-associated barcodes.CitationLuecken, M. D. et al. A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021).Original data linkhttps://openproblems.bio/neurips_docs/data/dataset/

  2. Luecken Cite-seq human bone marrow 2021 preprocessing

    • figshare.com
    hdf
    Updated Oct 5, 2023
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    Single-cell best practices (2023). Luecken Cite-seq human bone marrow 2021 preprocessing [Dataset]. http://doi.org/10.6084/m9.figshare.23623950.v2
    Explore at:
    hdfAvailable download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Single-cell best practices
    License

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

    Description

    Dataset published by Luecken et al. 2021 which contains data from human bone marrow measured through joint profiling of single-nucleus RNA and Antibody-Derived Tags (ADTs) using the 10X 3' Single-Cell Gene Expression kit with Feature Barcoding in combination with the BioLegend TotalSeq B Universal Human Panel v1.0.File Descriptioncite_quality_control.h5mu: Filtered cell by feature MuData object after quality control.cite_normalization.h5mu: MuData object of normalized data using DSB (denoised and scaled by background) normalization.cite_doublet_removal_xdbt.h5mu: MuData of data after doublet removal based on known cell type markers. Cells were removed if they were double positive for mutually exclusive markers with a DSB value >2.5.cite_dimensionality_reduction.h5mu: MuData of data after dimensionality reduction.cite_batch_correction.h5mu: MuData of data after batch correction.CitationLuecken, M. D. et al. A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021).Original data linkhttps://openproblems.bio/neurips_docs/data/dataset/

  3. Luecken Cite-seq human bone marrow 2021

    • figshare.com
    hdf
    Updated Oct 5, 2023
    Share
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    Single-cell best practices (2023). Luecken Cite-seq human bone marrow 2021 [Dataset]. http://doi.org/10.6084/m9.figshare.23622792.v2
    Explore at:
    hdfAvailable download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Single-cell best practices
    License

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

    Description

    Dataset published by Luecken et al. 2021 which contains data from human bone marrow measured through joint profiling of single-nucleus RNA and Antibody-Derived Tags (ADTs) using the 10X 3' Single-Cell Gene Expression kit with Feature Barcoding in combination with the BioLegend TotalSeq B Universal Human Panel v1.0.File Descriptioncite_filtered.h5mu: Filtered barcode by feature MuData object of concatenated donor’s raw counts from filtered barcodes. This is built from the Cell Ranger output and contains the RNA and ADT ("prot" key) data.cite_raw.h5mu: Unfiltered barcode by feature MuData object of concatenated donor's raw counts extracted by Cell Ranger. It contains the RNA and ADT ("prot" key) data.cite_preprocessed.h5ad: Fully processed AnnData object used in annotation chapter.CitationLuecken, M. D. et al. A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021).Original data linkhttps://openproblems.bio/neurips_docs/data/dataset/

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Single-cell best practices (2023). Luecken Cite-seq human bone marrow 2021 s4d8 [Dataset]. http://doi.org/10.6084/m9.figshare.24249433.v1
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Luecken Cite-seq human bone marrow 2021 s4d8

Explore at:
hdfAvailable download formats
Dataset updated
Oct 5, 2023
Dataset provided by
Figsharehttp://figshare.com/
Authors
Single-cell best practices
License

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

Description

Dataset published by Luecken et al. 2021 which contains data from human bone marrow measured through joint profiling of single-nucleus RNA and Antibody-Derived Tags (ADTs) using the 10X 3' Single-Cell Gene Expression kit with Feature Barcoding in combination with the BioLegend TotalSeq B Universal Human Panel v1.0.All files stored in this entry are from sample 4 donor 8. Additional sample are available upon request.File descriptionfiltered_feature_bc_matrix.h5: Filtered feature-barcode matrix containing only detected cell-associated barcodes.raw_feature_bc_matrix.h5: Unfiltered feature-barcode matrix containing every barcode from the list of barcode sequences with at least one read, including background and cell-associated barcodes.CitationLuecken, M. D. et al. A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2021).Original data linkhttps://openproblems.bio/neurips_docs/data/dataset/

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