PBMC-10K-celltype.txt (424.33 kB)View fileThis item contains files with download restrictions
ARCHIVE
GSM4156957.zip (1.62 GB)View fileThis item contains files with download restrictions
TEXT
GSM4156597_skin_celltype.txt (1.92 MB)View fileThis item contains files with download restrictions
ARCHIVE
GSE194122.zip (1.91 GB)View fileThis item contains files with download restrictions
ARCHIVE
revision.zip (4.25 GB)View fileThis item contains files with download restrictions
Next page
Previous page
1/1
Switch ViewSwitch between different file views
Thumbnail viewList viewFile view
6 filesFullscreen
TriTan: An efficient triple non-negative matrix factorisation method for integrative analysis of single-cell multiomics datarevision.zip contains tutorial and benchmark datasets
Version 2 2023-12-13, 10:22Version 2 2023-12-13, 10:22
Version 1 2023-06-05, 13:28Version 1 2023-06-05, 13:28
dataset
posted on 2023-12-13, 10:22authored byXin MaXin Ma
Three multiple publicly available single-cell multi-modal (two modalities - RNA and ATAC) datasets of varying sizes to comprehensively benchmark TriTan against other methods and leverage the output from TriTan for extensive downstream analyses.
PBMC-10K: Human peripheral blood mononuclear cells of 10X Multiome from(https://www.10xgenomics.com/resources/datasets/pbmc-from-a-healthy-donor-granulocytes-removed-through-cell-sorting-10-k-1-standard-1-0-0) . pbmc10k.h5mu : .h5mu data with two modalities; PBMC-10K-celltype.txt: ground truth cell type labels.
Bone marrow mononuclear cells (NeurIPS 2021 ) of 10X Multiome from GSE194122. GSE194122.zip contains prepocessed .h5mu data as well as ground truth.
Mouse skin cells using SHARE-seq protocol from GSM4156597. The .zip data contains prepocessed and unprepossed scRNA-seq and scATAC-seq data.; GSM4156597_skin_celltype.txt:ground truth cell type labels.