HDMAC: A Web-Based Interactive Program for High-Dimensional Analysis of Molecular Alterations in Cancer.

ABSTRACT: Recent advances in high-throughput genomic technologies have nurtured a growing demand for statistical tools to facilitate identification of molecular changes as potential prognostic biomarkers or drugable targets for personalized precision medicine. In this study, we developed a web-based interactive and user-friendly platform for high-dimensional analysis of molecular alterations in cancer (HDMAC) (https://ripsung26.shinyapps.io/rshiny/). On HDMAC, several penalized regression models that are suitable for high-dimensional data analysis, Ridge, Lasso and adaptive Lasso, are offered, with Cox regression for survival and logistic regression for binary outcomes. Choice of a first-step screening is provided to address the multiple-comparison issue that often arises with large-volume genomic d

SUBMITTER: Chang C 

PROVIDER: S-EPMC7054321 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature