OMICsPCA
This is the development version of OMICsPCA; for the stable release version, see OMICsPCA.
All Bioconductor versions of OMICsPCA
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8
An R package for quantitative integration and analysis of multiple omics assays from heterogeneous samples
Bioconductor version: 3.24 · Package version: 1.31.0
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 gmail.com>
Citation
From within R, enter citation("OMICsPCA"):
Subhadeep Das. OMICsPCA: An R package for quantitative integration and analysis of multiple omics assays from heterogeneous samples. doi:10.18129/B9.bioc.OMICsPCA, R package version 1.31.0, https://bioconductor.org/packages/OMICsPCA.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("OMICsPCA")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.31.0 |
| License | GPL-3 |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.8 (R-3.5) (7 years) |
| Downloads rank | 1013 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BiologicalQuestion, BiomedicalInformatics, Clustering, DataRepresentation, DimensionReduction, Epigenetics, EpigeneticsWorkflow, FunctionalGenomics, GUI, GeneticVariability, ImmunoOncology, MultipleComparison, PrincipalComponent, SingleCell, Software, Transcription, Visualization, Workflow |
| Package Short Url | https://bioconductor.org/packages/OMICsPCA/ |
Documentation
| Reference Manual | |
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | OMICsPCA_1.31.0.tar.gz |
| macOS binary (arm64) | OMICsPCA_1.31.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/OMICsPCA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/OMICsPCA |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 3.5.0), OMICsPCAdata
Imports: HelloRanges, fpc, stats, MultiAssayExperiment, pdftools, methods, grDevices, utils, clValid, NbClust, cowplot, rmarkdown, kableExtra, rtracklayer, IRanges, Seqinfo, reshape2, ggplot2, factoextra, rgl, corrplot, MASS, graphics, FactoMineR, PerformanceAnalytics, tidyr, data.table, cluster, magick
Suggests: knitr, RUnit, BiocGenerics