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nipalsMCIA

This is thereleased version of nipalsMCIA; for the devel version, seenipalsMCIA.

Multiple Co-Inertia Analysis via the NIPALS Method

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DOI: 10.18129/B9.bioc.nipalsMCIA


Bioconductor version: Release (3.22)

Computes Multiple Co-Inertia Analysis (MCIA), a dimensionality reduction (jDR) algorithm, for a multi-block dataset using a modification to the Nonlinear Iterative Partial Least Squares method (NIPALS) proposed in (Hanafi et. al, 2010). Allows multiple options for row- and table-level preprocessing, and speeds up computation of variance explained. Vignettes detail application to bulk- and single cell- multi-omics studies.

Author: Maximilian Mattessich [cre]ORCID iD ORCID: 0000-0002-1233-1240, Joaquin Reyna [aut]ORCID iD ORCID: 0000-0002-8468-2840, Edel Aron [aut]ORCID iD ORCID: 0000-0002-8683-4772, Ferhat Ay [aut]ORCID iD ORCID: 0000-0002-0708-6914, Steven Kleinstein [aut]ORCID iD ORCID: 0000-0003-4957-1544, Anna Konstorum [aut]ORCID iD ORCID: 0000-0003-4024-2058

Maintainer: Maximilian Mattessich <maximilian.mattessich at northwestern.edu>

Citation (from within R, entercitation("nipalsMCIA")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("nipalsMCIA")

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

Documentation

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

browseVignettes("nipalsMCIA")
Analysis of MCIA DecompositionHTMLR Script
Predicting New MCIA scoresHTMLR Script
Single Cell AnalysisHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,Clustering,MultipleComparison,Normalization,Preprocessing,SingleCell,Software
Version1.8.0
In Bioconductor sinceBioC 3.18 (R-4.3) (2 years)
LicenseGPL-3
DependsR (>= 4.3.0)
ImportsComplexHeatmap,dplyr,fgsea,ggplot2 (>= 3.0.0), graphics, grid, methods,MultiAssayExperiment,SummarizedExperiment,pracma,rlang,RSpectra,scales, stats
System Requirements
URLhttps://github.com/Muunraker/nipalsMCIA
Bug Reportshttps://github.com/Muunraker/nipalsMCIA/issues
See More
SuggestsBiocFileCache,BiocStyle,circlize,ggpubr,KernSmooth,knitr,piggyback,reshape2,rmarkdown,rpart,Seurat (>= 4.0.0),spatstat.explore,stringr,survival,tidyverse,testthat (>= 3.0.0)
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagenipalsMCIA_1.8.0.tar.gz
Windows Binary (x86_64) nipalsMCIA_1.8.0.zip
macOS Binary (x86_64)nipalsMCIA_1.8.0.tgz
macOS Binary (arm64)nipalsMCIA_1.8.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/nipalsMCIA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/nipalsMCIA
Bioc Package Browserhttps://code.bioconductor.org/browse/nipalsMCIA/
Package Short Urlhttps://bioconductor.org/packages/nipalsMCIA/
Package Downloads ReportDownload Stats

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