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

Papers: 10.1038/s41598-018-23494-0

https://doi.org/10.1038/s41598-018-23494-0

Methylation-to-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, and Pathologic Complete Response in Multiple Cohorts

Cited by: 6
Author(s): Jeffrey Thompson, Brock C. Christensen, Carmen J. Marsit
Published: over 7 years ago

Software Mentions 6

bioconductor: ArrayExpress
Access the ArrayExpress Collection at EMBL-EBI Biostudies and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
Papers that mentioned: 1,962
Very Likely Science (83)
bioconductor: minfi
Analyze Illumina Infinium DNA methylation arrays
Papers that mentioned: 506
Very Likely Science (100)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
Very Likely Science (100)
cran: NCA
Necessary Condition Analysis
Papers that mentioned: 81
Very Likely Science (85)
cran: timeROC
Time-Dependent ROC Curve and AUC for Censored Survival Data
Papers that mentioned: 254
Very Likely Science (75)
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
Very Likely Science (100)