Papers: 10.1186/s12967-021-02865-8

https://doi.org/10.1186/s12967-021-02865-8

Metabolic classification of bladder cancer based on multi-omics integrated analysis to predict patient prognosis and treatment response

Cited by: 11
Author(s): Chaozhi Tang, Meng Yu, Jiakang Ma, Yuyan Zhu
Published: over 5 years ago

Software Mentions 3

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
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Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
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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)