Package: MOSS
Title: Multi-Omic Integration via Sparse Singular Value Decomposition
Version: 0.2.2
Authors@R: c(
    person("Agustin", "Gonzalez-Reymundez", email = "agugonrey@gmail.com", role = c("aut","cre","cph")),
    person("Alexander", "Grueneberg", email = "cran@agrueneberg.info", role = c("aut")),
    person("Ana", "Vazquez", email = "avazquez@msu.edu", role = c("ctb","ths")))
Description: High dimensionality, noise and heterogeneity among
    samples and features challenge the omic integration task. Here we
    present an omic integration method based on sparse singular value
    decomposition (SVD) to deal with these limitations, by: a. obtaining
    the main axes of variation of the combined omics, b. imposing sparsity
    constraints at both subjects (rows) and features (columns) levels
    using Elastic Net type of shrinkage, and c. allowing both linear and
    non-linear projections (via t-Stochastic Neighbor Embedding) of the
    omic data to detect clusters in very convoluted data
    (Gonzalez-Reymundez et. al, 2022) <doi:10.1093/bioinformatics/btac179>.
License: GPL-2
URL: https://github.com/agugonrey/MOSS
BugReports: https://github.com/agugonrey/MOSS/issues
Imports: cluster, dbscan, Rtsne, stats
Suggests: annotate, bigparallelr, bigstatsr, future.apply, scatterpie,
        clValid, ComplexHeatmap, fpc, ggplot2, ggpmisc, ggthemes,
        gridExtra, irlba, knitr, MASS, rmarkdown, testthat, viridis,
        spelling, VennDiagram, grid
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2022-03-25 14:36:36 UTC; Agustin
Author: Agustin Gonzalez-Reymundez [aut, cre, cph],
  Alexander Grueneberg [aut],
  Ana Vazquez [ctb, ths]
Maintainer: Agustin Gonzalez-Reymundez <agugonrey@gmail.com>
Repository: CRAN
Date/Publication: 2022-03-25 15:50:05 UTC
Built: R 4.1.2; ; 2022-03-26 11:36:33 UTC; unix
