Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells - Buettner, Florian; Natarajan, Kedar N; Casale, F Paolo; Proserpio, Valentina; Scialdone, Antonio; Theis, Fabian J; Teichmann, Sarah A; Marioni, John C; Stegle, Oliver (Nature biotechnology, 2015)
Keywords: 38/91; 631/114/2785; 631/337/572; Agriculture; analysis; Animals; Bioinformatics; Biomedical Engineering/Biotechnology; Biomedicine; Biotechnology; Cell cycle; Cell Differentiation - genetics; Cell Lineage - genetics; Computational Biology; Computational mathematics; Gene expression; Gene Expression Regulation, Developmental; Genetic aspects; Genetic Heterogeneity; Genetic research; Heterogeneity; Life Sciences; Mice; Models, Theoretical; Mouse Embryonic Stem Cells; RNA - genetics; RNA sequencing; Sequence Analysis, RNA; Single-Cell Analysis; Subpopulations; Th2 Cells - cytology; Transcriptome - genetics