Ovarian data used in CHETAH paper

This is the ovarian data set used in the CHETAH paper: Kanter, Jurrian K. de, Philip Lijnzaad, Tito Candelli, Thanasis Margaritis, and Frank C. P. Holstege. “CHETAH: A Selective, Hierarchical Cell Type Identification Method for Single-Cell RNA Sequencing.” Nucleic Acids Research. Accessed July 1, 2019. https://doi.org/10.1093/nar/gkz543 it was described in Schelker, Max, Sonia Feau, Jinyan Du, Nav Ranu, Edda Klipp, Gavin MacBeath, Birgit Schoeberl, and Andreas Raue. “Estimation of Immune Cell Content in Tumour Tissue Using Single-Cell RNA-Seq Data.” Nature Communications 8, no. 1 (December 11, 2017): 2032. https://doi.org/10.1038/s41467-017-02289-3(but no longer available in figshare). The Seurat 3 SingleCellExperiment format, consisting of 25462 genes x 3114 cells of types with meta.data 'celltypes' distributed as Unknown 125 CD4 T cell 323 CD8 T cell 31 reg. T cell 1 B cell 18 Macrophage 2057 Dendritic 114 NK 109 CAF 36 Tumor 300For the other data in the CHETAH paper see https://figshare.com/s/aaf026376912366f81b6