Papers: 10.1186/s12967-021-02834-1

https://doi.org/10.1186/s12967-021-02834-1

Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

Cited by: 6
Author(s): Guanyi Wang, Yibin Jia, Yuqing Ye, Enming Kang, Huijun Chen, Jiayou Wang, Xiaosheng He
Published: over 5 years ago

Software Mentions 3

bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
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Very Likely Science (100)
cran: WGCNA
Weighted Correlation Network Analysis
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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)