Coxmos - Cox MultiBlock Survival
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>.
