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

Papers: 10.1186/s12935-020-01230-x

https://doi.org/10.1186/s12935-020-01230-x

A Gleason score-related outcome model for human prostate cancer: a comprehensive study based on weighted gene co-expression network analysis

Cited by: 19
Author(s): Yongzhi Wang, Zhonghua Yang
Published: about 5 years ago

Software Mentions 9

bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: fgsea
Fast Gene Set Enrichment Analysis
Papers that mentioned: 150
Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: survivalROC
Time-Dependent ROC Curve Estimation from Censored Survival Data
Papers that mentioned: 479
Very Likely Science (75)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
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)