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Papers: 10.1186/s12859-015-0537-9

https://doi.org/10.1186/s12859-015-0537-9

A strategy to build and validate a prognostic biomarker model based on RT-qPCR gene expression and clinical covariates

Cited by: 6
Author(s): Maud Tournoud, Audrey Larue, Marie-Angélique Cazalis, Fabienne Venet, Alexandre Pachot, Guillaume Monneret, Alain Lepape, Jean‐Baptiste Veyrieras
Published: over 10 years ago

Software Mentions 9

cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: pec
Prediction Error Curves for Risk Prediction Models in Survival Analysis
Papers that mentioned: 56
Very Likely Science (85)
cran: rms
Regression Modeling Strategies
Papers that mentioned: 1,236
Very Likely Science (100)
cran: survival
Survival Analysis
Papers that mentioned: 1,690
Very Likely Science (100)
cran: survivalROC
Time-Dependent ROC Curve Estimation from Censored Survival Data
Papers that mentioned: 479
Very Likely Science (75)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)
pypi: mfp
my first package
Papers that mentioned: 31
Very Likely Science (65)
pypi: survival
Add static script_dir() method to Path
Papers that mentioned: 1,690
Very Likely Science (90)