Single-cell RNA sequencing data analysis bioinformatics software tools

The development of high-throughput RNA sequencing (RNA-seq) at the single-cell level has already led to profound new discoveries in biology, ranging from the identification of novel cell types to the study of global patterns of stochastic gene expression. Alongside the…

scRNA-seq analysis steps

G T A T C G C T A
VAMF
Desktop

VAMF Varying-censoring Aware Matrix Factorization

Allows to model cell-specific detection patterns using random effects. VAMF…

Allows to model cell-specific detection patterns using random effects. VAMF helps users to identify the factors in the case of systematic bias. This tool represents a probabilistic dimension…

Curators for scRNA-seq analysis

  • Haodong Chen's avatar image
    Haodong Chen
    Stanford Cardiovascular Institute,…
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