Papers: 10.1186/s13059-019-1806-0
https://doi.org/10.1186/s13059-019-1806-0
scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
Cited by: 15
Author(s): Ruoxin Li, Gerald Quon
Published: almost 6 years ago
Software Mentions 6
Very Likely Science (65)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
Very Likely Science (100)
bioconductor: scBFA
A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seqPapers that mentioned: 2
Very Likely Science (100)
Very Likely Science (100)
cran: sctransform
Variance Stabilizing Transformations for Single Cell UMI DataPapers that mentioned: 34
Very Likely Science (100)
Very Likely Science (100)