Article

SOMSC: Self-Organization-Map for High-Dimensional Single-Cell Data of Cellular States and Their Transitions

2017-04-06

Abstract excerpt

Measurements of gene expression levels for multiple genes in single cells provide a powerful approach to study heterogeneity of cell populations and cellular plasticity. While the expression levels of multiple genes in each cell are available in such data, the potential connections among the cells (e.g. the lineage relationship) are not directly evident from the measurement. Classifying cellular states and identif...

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Literature Corpus work: 670caff9-816a-5dc9-80c1-f204c4fb018f
DOI: 10.1101/124735

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