An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0232271

https://doi.org/10.1371/journal.pone.0232271

Benchmarking RNA-seq differential expression analysis methods using spike-in and simulation data

Cited by: 20
Author(s): Bukyung Baik, Susan A. Yoon, Dougu Nam
Published: about 5 years ago

Software Mentions 8

bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Papers that mentioned: 139
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: ROTS
Reproducibility-Optimized Test Statistic
Papers that mentioned: 20
Very Likely Science (90)
cran: PoissonSeq
Papers that mentioned: 30
Unlikely Science (0)
pypi: pc
process control -- easy fork-exec and pipe with I/O redirection
Papers that mentioned: 23
Very Likely Science (65)
pypi: rb
rb, the redis blaster
Papers that mentioned: 13
Very Likely Science (65)