Abstract
The maintenance and transition of cellular states are controlled by biological processes. Here we present a gene set-based transformation of single cell RNA-Seq data into biological process activities that provides a robust description of cellular states. Moreover, as these activities represent species-independent descriptors, they facilitate the alignment of single cell states across different organisms.
Publication types
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Research Support, N.I.H., Extramural
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Research Support, Non-U.S. Gov't
MeSH terms
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Animals
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Computational Biology / methods*
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Gene Expression
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Gene Expression Profiling / methods*
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Gene Expression Regulation, Developmental / genetics
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Humans
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Leukocytes, Mononuclear / metabolism
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Mice
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Mouse Embryonic Stem Cells / metabolism
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Sequence Analysis, RNA / methods*
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Signal-To-Noise Ratio
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Single-Cell Analysis / methods
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Systems Biology
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Zebrafish / genetics