Package: timeOmics
Title: Time-Course Multi-Omics data integration
Version: 1.10.0
Authors@R: 
    c(person("Antoine","Bodein", role = c("aut", "cre"), email = "antoine.bodein.1@ulaval.ca"),
      person("Olivier", "Chapleur", role = c("aut")),
      person("Kim-Anh", "Le Cao", role = c("aut")),
      person("Arnaud", "Droit", role = c("aut")))
Description: timeOmics is a generic data-driven framework to integrate 
  multi-Omics longitudinal data measured on the same biological samples and select 
  key temporal features with strong associations within the same sample group.
  The main steps of timeOmics are: 
    1. Plaform and time-specific normalization and filtering steps;
    2. Modelling each biological into one time expression profile;
    3. Clustering features with the same expression profile over time;
    4. Post-hoc validation step.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, tibble, purrr, magrittr, ggplot2, stringr,
        ggrepel, propr, lmtest, plyr
biocViews:
        Clustering,FeatureExtraction,TimeCourse,DimensionReduction,Software,
        Sequencing, Microarray, Metabolomics, Metagenomics, Proteomics,
        Classification, Regression, ImmunoOncology, GenePrediction,
        MultipleComparison
Depends: mixOmics, R (>= 4.0)
RoxygenNote: 7.1.2
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, rmarkdown, testthat, snow, tidyverse,
        igraph, gplots
Remotes: cran/lmms
BugReports: https://github.com/abodein/timeOmics/issues
git_url: https://git.bioconductor.org/packages/timeOmics
git_branch: RELEASE_3_16
git_last_commit: 6f1a0b1
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-02 03:40:45 UTC; biocbuild
Author: Antoine Bodein [aut, cre],
  Olivier Chapleur [aut],
  Kim-Anh Le Cao [aut],
  Arnaud Droit [aut]
Maintainer: Antoine Bodein <antoine.bodein.1@ulaval.ca>
Built: R 4.2.1; ; 2022-11-02 14:29:04 UTC; windows
