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This is the development version of OMICsPCA; for the stable release version, see OMICsPCA.

An R package for quantitative integration and analysis of multiple omics assays from heterogeneous samples

Bioconductor version: Development (3.20)

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.

Author: Subhadeep Das [aut, cre], Dr. Sucheta Tripathy [ctb]

Maintainer: Subhadeep Das <subhadeep1024 at>

Citation (from within R, enter citation("OMICsPCA")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Reference Manual PDF


biocViews BiologicalQuestion, BiomedicalInformatics, Clustering, DataRepresentation, DimensionReduction, Epigenetics, EpigeneticsWorkflow, FunctionalGenomics, GUI, GeneticVariability, ImmunoOncology, MultipleComparison, PrincipalComponent, SingleCell, Software, Transcription, Visualization, Workflow
Version 1.23.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License GPL-3
Depends R (>= 3.5.0), OMICsPCAdata
Imports HelloRanges, fpc, stats, MultiAssayExperiment, pdftools, methods, grDevices, utils, clValid, NbClust, cowplot, rmarkdown, kableExtra, rtracklayer, IRanges, GenomeInfoDb, reshape2, ggplot2, factoextra, rgl, corrplot, MASS, graphics, FactoMineR, PerformanceAnalytics, tidyr, data.table, cluster, magick
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Suggests knitr, RUnit, BiocGenerics
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Source Package OMICsPCA_1.23.0.tar.gz
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macOS Binary (x86_64) OMICsPCA_1.23.0.tgz
macOS Binary (arm64) OMICsPCA_1.23.0.tgz
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