42 lines (41 with data), 1.5 kB

Package: timeOmics
Title: Time-Course Multi-Omics data integration
Version: 1.15.11
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,
    lmtest, 
    plyr,
    checkmate
biocViews: Clustering,FeatureExtraction,TimeCourse,DimensionReduction,Software,
    Sequencing, Microarray, Metabolomics, Metagenomics, Proteomics,
      Classification, Regression, ImmunoOncology, GenePrediction,
      MultipleComparison
Depends: mixOmics, R (>= 4.0)
RoxygenNote: 7.3.1
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, rmarkdown, testthat, snow, tidyverse, igraph, gplots
Remotes: cran/lmms
BugReports: https://github.com/abodein/timeOmics/issues