Article

ZIFA: Dimensionality reduction for zero-inflated single cell gene expression analysis

2015-05-08

Abstract excerpt

Single cell RNA-seq data allows insight into normal cellular function and diseases including cancer through the molecular characterisation of cellular state at the single-cell level. Dimensionality reduction of such high-dimensional datasets is essential for visualization and analysis, but single-cell RNA-seq data is challenging for classical dimensionality reduction methods because of the prevalence of dropout ev...

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Literature Corpus work: 49d45725-9b7a-5408-83ed-5025baedf124
DOI: 10.1101/019141

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