Training_sc

This dataset contains the cell-type annotations of each scRNA-seq dataset that was used in the omnideconv benchmarking study. We do not include the count matrix files in here, they will have to be accessed from the original publications and are linked here.Each annotation file includes a table with columns for the cell barcode and their annotation, with different granularity of annotation, if available. Included datasets (and their accession codes) are:Hao (GSE164378): Hao, Y. et al. Integrated analysis of multimodal single-cell data. Cell 184, 3573–3587.e29 (2021)Maynard (PRJNA591860): Maynard, A. et al. Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing. Cell 182, 1232–1251.e22 (2020)Lambrechts (E-MTAB-6149, E-MTAB-6653): Lambrechts, D. et al. Phenotype molding of stromal cells in the lung tumor microenvironment. Nat. Med. 24, 1277–1289 (2018) Tabula-Muris (GSE109774): Tabula Muris Consortium et al. Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris. Nature 562, 367–372 (2018)Wu (GSE176078): Wu, S. Z. et al. A single-cell and spatially resolved atlas of human breast cancers. Nat. Genet. 53, 1334–1347 (2021)