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