Provides the 'Molecular Signatures Database' (MSigDB) gene
    sets typically used with the 'Gene Set Enrichment Analysis' (GSEA)
    software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>,
    Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>) in a standard R
    data frame with key-value pairs. The package includes the human genes
    as listed in MSigDB as well as the corresponding symbols and IDs for
    frequently studied model organisms such as mouse, rat, pig, fly, and
    yeast.

Traditional methods typically detect breakpoints from individual signals, which means that when applied separately to multiple signals, the breakpoints are not aligned. 
    However, this package implements a common breakpoint detection approach for multiple piecewise constant signals, resulting in increased detection sensitivity and specificity. 
    By employing various techniques, optimal performance is ensured, and computation is accelerated. We hope that this package will be beneficial for researchers in signal processing, bioinformatics, economy, and other related fields.
    The segmentation(), lambda_estimator() functions are the main functions of this package.

Utility functions for mutational signature analysis
             as described in Alexandrov, L. B. (2020)
             <doi:10.1038/s41586-020-1943-3>.
             This package provides two groups of functions. One is
             for dealing with mutational signature "exposures"
             (i.e. the counts of mutations in a sample that are
             due to each mutational signature). The other group of
             functions is for matching or comparing sets of 
             mutational signatures. 'mSigTools' stands for 
             mutational Signature analysis Tools.

Micro simulation model to reproduce natural history of cervical cancer and cost-effectiveness evaluation of prevention strategies. See Georgalis L, de Sanjose S, Esnaola M, Bosch F X, Diaz M (2016) <doi:10.1097/CEJ.0000000000000202> for more details.