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cff-version: 1.2.0
message: 'To cite package "OMICsPCA" in publications use:'
type: software
license: GPL-3.0-only
title: 'OMICsPCA: An R package for quantitative integration and analysis of multiple
  omics assays from heterogeneous samples'
version: 1.23.0
abstract: OMICsPCA is an analysis pipeline designed to integrate multi OMICs experiments
  done on various subjects (e.g. Cell lines, individuals), treatments (e.g. disease/control)
  or time points and to analyse such integrated data from various various angles and
  perspectives. In it's core OMICsPCA uses Principal Component Analysis (PCA) to integrate
  multiomics experiments from various sources and thus has ability to over data insufficiency
  issues by using the ingegrated data as representatives. OMICsPCA can be used in
  various application including analysis of overall distribution of OMICs assays across
  various samples /individuals /time points; grouping assays by user-defined conditions;
  identification of source of variation, similarity/dissimilarity between assays,
  variables or individuals.
authors:
- family-names: Das
  given-names: Subhadeep
  email: subhadeep1024@gmail.com
repository: https://bioc.r-universe.dev
contact:
- family-names: Das
  given-names: Subhadeep
  email: subhadeep1024@gmail.com