Papers: 10.1186/s12859-018-2435-4
https://doi.org/10.1186/s12859-018-2435-4
Single sample scoring of molecular phenotypes
Cited by: 230
Author(s): Momeneh Foroutan, Dharmesh D. Bhuva, Ruqian Lyu, Kristy Horan, Joseph Cursons, Melissa J. Davis
Published: over 6 years ago
Software Mentions 7
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq dataPapers that mentioned: 893
Very Likely Science (100)
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of GraphicsPapers that mentioned: 11,441
Very Likely Science (100)
Very Likely Science (100)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.Papers that mentioned: 893
Very Likely Science (100)
pypi: plotly
An open-source, interactive data visualization library for PythonPapers that mentioned: 163
Very Likely Science (90)