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, NChannelSetPapers that mentioned: 1,962
Very Likely Science (83)
Very Likely Science (100)
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear ModelsPapers that mentioned: 1,607
Very Likely Science (100)
Very Likely Science (85)
cran: timeROC
Time-Dependent ROC Curve and AUC for Censored Survival DataPapers that mentioned: 254
Very Likely Science (75)
Very Likely Science (100)