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Papers: 10.1186/s12918-016-0349-1

https://doi.org/10.1186/s12918-016-0349-1

DGCA: A comprehensive R package for Differential Gene Correlation Analysis

Cited by: 156
Author(s): Andrew McKenzie, Igor Katsyv, Won Min Song, Minghui Wang, Bin Zhang
Published: over 8 years ago

Software Mentions 9

bioconductor: EBcoexpress
EBcoexpress for Differential Co-Expression Analysis
Papers that mentioned: 5
Very Likely Science (100)
bioconductor: GOstats
Tools for manipulating GO and microarrays
Papers that mentioned: 368
Very Likely Science (100)
bioconductor: GSCA
GSCA: Gene Set Context Analysis
Papers that mentioned: 40
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: DGCA
Differential Gene Correlation Analysis
Papers that mentioned: 17
Very Likely Science (85)
cran: DiffCorr
Analyzing and Visualizing Differential Correlation Networks in Biological Data
Papers that mentioned: 21
Very Likely Science (85)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: MEGENA
Multiscale Clustering of Geometrical Network
Papers that mentioned: 23
Very Likely Science (100)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)