Coxmos

This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) https://CRAN.R-project.org/package=survival, Noah Simon et al. (2011) doi:10.18637/jss.v039.i05, Philippe Bastien et al. (2005) doi:10.1016/j.csda.2004.02.005, Philippe Bastien (2008) doi:10.1016/j.chemolab.2007.09.009, Philippe Bastien et al. (2014) doi:10.1093/bioinformatics/btu660, Kassu Mehari Beyene and Anouar El Ghouch (2020) doi:10.1002/sim.8671, Florian Rohart et al. (2017) doi:10.1371/journal.pcbi.1005752.

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