TriTan: An efficient triple non-negative matrix factorisation method for integrative analysis of single-cell multiomics data

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.

本数据集包含三个公开的多模态（两种模态——RNA和ATAC）单细胞数据集，规模各异，旨在全面评估TriTan与其他方法的性能，并充分利用TriTan的输出进行广泛的后续分析。其中，PBMC-10K数据集包含来自10X Multiome的人类外周血单个核细胞，数据来源于https://www.10xgenomics.com/resources/datasets/pbmc-from-a-healthy-donor-granulocytes-removed-through-cell-sorting-10-k-1-standard-1-0-0，包含.pbmc10k.h5mu数据以及两种模态；PBMC-10K-celltype.txt文件包含细胞类型标签。来自GSE194122的骨髓单个核细胞（NeurIPS 2021），GSE194122.zip文件包含预处理后的.h5mu数据和标签。使用SHARE-seq协议的鼠皮肤细胞数据来自GSM4156597，.zip数据包含预处理和未预处理的单细胞RNA测序和单细胞ATAC测序数据；GSM4156597_skin_celltype.txt文件包含细胞类型标签。