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Papers: 10.1186/s12859-019-2968-1

https://doi.org/10.1186/s12859-019-2968-1

Visualization methods for differential expression analysis

Cited by: 6
Author(s): Lindsay Rutter, Adrienne N. Moran Lauter, Michelle A. Graham, Dianne Cook
Published: almost 6 years ago

Software Mentions 11

bioconductor: bigPint
Big multivariate data plotted interactively
Papers that mentioned: 3
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)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: htmlwidgets
HTML Widgets for R
Papers that mentioned: 14
Very Likely Science (93)
cran: pkgdown
Make Static HTML Documentation for a Package
Papers that mentioned: 5
Very Likely Science (100)
cran: plotly
Create Interactive Web Graphics via 'plotly.js'
Papers that mentioned: 163
Very Likely Science (100)
cran: shiny
Web Application Framework for R
Papers that mentioned: 127
Very Likely Science (100)
pypi: plotly
An open-source, interactive data visualization library for Python
Papers that mentioned: 163
Very Likely Science (90)
pypi: shiny
A web development framework for Python.
Papers that mentioned: 127
Very Likely Science (100)