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Nov 16, 2022We have developed a method for cleaning RNA-seq data, which improves the detection of differentially expressed genes and specifically genes with low to�...
Nov 16, 2022We have developed a method for cleaning RNA-seq data, which improves the detection of differentially expressed genes and specifically genes with low to�...
3 days agoModeling and cleaning RNA-seq data significantly improve detection of differentially expressed genes. Access & Citations. 5398: Article�...
We demonstrate that the removal of this random component leads to the significant increase in the number of detected differentially expressed genes, more�...
Nov 29, 2022Results: We have developed a method for cleaning RNA-seq data, which improves the detection of differentially expressed genes and specifically�...
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RNA-seq has become a standard technology to quantify mRNA. The measured values usually vary by several orders of magnitude, and while the detection of�...
Modeling and cleaning RNA-seq data significantly improve detection of differentially expressed genes. https://doi.org/10.1186/s12859-022-05023-z �. Journal�...
Among the various methods available, EdgeR and Deseq2 are some of the most used techniques for analyzing differential gene expression from RNA-seq data [31].
Nov 21, 2022It claims that one can massively improve an RNA-Seq analysis by simply removing 5-20 counts from every sample. Modeling and cleaning RNA-seq�...
This review aims to address mainly the aspects involved in the differentially expressed gene (DEG) analysis from RNA sequencing data (RNA-seq), considering the�...