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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.1008947

https://doi.org/10.1371/journal.pcbi.1008947

Chromosomal neighbourhoods allow identification of organ specific changes in gene expression

Cited by: 1
Author(s): Rishi Das Roy, Outi Hallikas, Mona M. Christensen, Élodie Renvoisé, Jukka Jernvall
Published: almost 4 years ago

Software Mentions 10

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: RankProd
Rank Product method for identifying differentially expressed genes with application in meta-analysis
Papers that mentioned: 213
Very Likely Science (100)
cran: ROCR
Visualizing the Performance of Scoring Classifiers
Papers that mentioned: 596
Very Likely Science (75)
cran: SAM
Sparse Additive Modelling
Papers that mentioned: 4,566
Very Likely Science (85)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: Biology
Biological Analysis
Papers that mentioned: 311
Very Likely Science (90)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)