Package: MOTL
Title: Multi-omics matrix factorization with transfer learning
Version: 0.99.1
Authors@R: c(
    person("David", "Hirst", role = "aut",
           comment = c(ORCID = "0000-0001-7574-5531")),
    person("Morgane", "Térézol", , "morgane.terezol@univ-amu.fr", role = "cre",
           comment = c(ORCID = "0000-0002-4090-2573"))
  )
Description: A transfer learning algorithm for multi-omics matrix
        factorization called 'MOTL' (Multi-Omics Transfer Learning).
        'MOTL' is a Bayesian transfer learning method, based on 'MOFA'.
        'MOTL' infers latent factor values for a multi-omics target
        dataset, consisting of a small number of samples, by
        incorporating latent factor values already inferred with a
        'MOFA' factorization of a large, heterogeneous, learning
        dataset.
License: GPL-3 + file LICENCE
URL: https://github.com/MOohTus/MOTL,
        https://github.com/david-hirst/MOTL
BugReports: https://github.com/MOohTus/MOTL/issues,
 https://github.com/david-hirst/MOTL/issues
Depends: R (>= 4.2.0)
Imports: base, data.table, DESeq2, dplyr, matrixStats, rhdf5, stats,
        stats4, SummarizedExperiment, utils, methods, MOFA2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr, BiocStyle
VignetteBuilder: knitr
biocViews: DimensionReduction, FeatureExtraction, Bayesian,
        Normalization
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
LazyData: false
Config/pak/sysreqs: libicu-dev libpng-dev libssl-dev python3 zlib1g-dev
Repository: https://biocstaging.r-universe.dev
Date/Publication: 2026-06-19 07:04:32 UTC
RemoteUrl: https://github.com/BiocStaging/MOTL
RemoteRef: HEAD
RemoteSha: 2b258d0a0ade3280d1d1d27dd0252b568ea04a3c
NeedsCompilation: no
Packaged: 2026-09-19 10:59:54 UTC; root
Author: David Hirst [aut] (ORCID: <https://orcid.org/0000-0001-7574-5531>),
  Morgane Térézol [cre] (ORCID: <https://orcid.org/0000-0002-4090-2573>)
Maintainer: Morgane Térézol <morgane.terezol@univ-amu.fr>