Papers: 10.3389/pore.2021.1609789

https://doi.org/10.3389/pore.2021.1609789

Comprehensive Analysis of Metabolic Genes in Breast Cancer Based on Multi-Omics Data

Cited by: 2
Author(s): Yu Hua, Lihong Gao, Xiaobo Li
Published: about 5 years ago

Software Mentions 4

bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
cran: cometExactTest
Exact Test from the Combinations of Mutually Exclusive Alterations (CoMEt) Algorithm
Papers that mentioned: 2
Very Likely Science (93)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
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)