eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings
Kevin Z. Lin,
Yixuan Qiu,
Kathryn Roeder
Abstract:Background
Single-cell RNA-sequencing (scRNA) datasets are becoming increasingly popular in clinical and cohort studies, but there is a lack of methods to investigate differentially expressed (DE) genes among such datasets with numerous individuals. While numerous methods exist to find DE genes for scRNA data from limited individuals, differential-expression testing for large cohorts of case and control individuals using scRNA data poses unique challenges due to substantial effects of human var… Show more
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