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

Papers: 10.1186/s12859-021-04124-5

https://doi.org/10.1186/s12859-021-04124-5

Popularity and performance of bioinformatics software: the case of gene set analysis

Cited by: 21
Author(s): Chengshu Xie, Shaurya Jauhari, Antonio M. Mora
Published: over 4 years ago

Software Mentions 8

bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
bioconductor: SPIA
Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signaling perturbations
Papers that mentioned: 155
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: GSA
Gene Set Analysis
Papers that mentioned: 285
Very Likely Science (93)
pypi: GSA
Python Package to implement Gravitational Search Algorithm. Documentation at:https://github.com/deepanshu1999/GSA
Papers that mentioned: 285
Very Likely Science (90)
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: jupyter
Jupyter metapackage. Install all the Jupyter components in one go.
Papers that mentioned: 39
Very Likely Science (90)