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

Papers: 10.1371/journal.pcbi.1007869

https://doi.org/10.1371/journal.pcbi.1007869

PenDA, a rank-based method for personalized differential analysis: Application to lung cancer

Cited by: 8
Author(s): Magali Richard, Clémentine Decamps, Florent Chuffart, Élisabeth Brambilla, Sophie Rousseaux, Saadi Khochbin, Daniel Jost
Published: about 5 years ago

Software Mentions 6

bioconductor: DEGseq
Identify Differentially Expressed Genes from RNA-seq data
Papers that mentioned: 697
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: NOISeq
Exploratory analysis and differential expression for RNA-seq data
Papers that mentioned: 321
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)