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

Papers: 10.1186/s12967-021-02952-w

https://doi.org/10.1186/s12967-021-02952-w

Molecular subtype identification and prognosis stratification by a metabolism-related gene expression signature in colorectal cancer

Cited by: 20
Author(s): Daowei Lin, Wenhua Fan, Rongxin Zhang, Enen Zhao, Pansong Li, Wenhao Zhou, Jianhong Peng, Liren Li
Published: about 4 years ago

Software Mentions 14

bioconductor: affy
Methods for Affymetrix Oligonucleotide Arrays
Papers that mentioned: 989
Very Likely Science (98)
bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: ConsensusClusterPlus
ConsensusClusterPlus
Papers that mentioned: 313
Likely Science (50)
bioconductor: enrichplot
Visualization of Functional Enrichment Result
Papers that mentioned: 249
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)
bioconductor: survcomp
Performance Assessment and Comparison for Survival Analysis
Papers that mentioned: 117
Very Likely Science (100)
cran: compareC
Compare Two Correlated C Indices with Right-Censored Survival Outcome
Papers that mentioned: 22
Very Likely Science (75)
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: survminer
Drawing Survival Curves using 'ggplot2'
Papers that mentioned: 1,473
Very Likely Science (75)
cran: survRM2
Comparing Restricted Mean Survival Time
Papers that mentioned: 19
Very Likely Science (83)
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)