hdnom: Building Nomograms for Penalized Cox Models with High-Dimensional Survival Data
By: Researcher
Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).
| Authors | Nan Xiao, Qing-Song Xu, Mengheng Li |
| Journal/Conference Name | bioRxiv |
| Paper Category | Other |
| Paper Abstract | Summary: We developed hdnom, an R package for survival modeling with high-dimensional data. The package is the first free and open-source software package that streamlines the workflow of penalized Cox model building, validation, calibration, comparison, and nomogram visualization, with nine types of penalized Cox regression methods fully supported. A web application and an online prediction tool maker are offered to enhance interac- tivity and flexibility in high-dimensional survival analysis. Availability: The hdnom R package is available from CRAN: https://cran.r-project.org/package=hdnom under GPL. The hdnom web application can be accessed at http://hdnom.io. The web application maker is available from http://hdnom.org/appmaker. The hdnom project website: http://hdnom.org. |
| Date of publication | 2016 |
| Code Programming Language | R |
| Comment |
Copyright Researcher 2022