LinkHD
LinkHD: a versatile framework to explore and integrate heterogeneous data
Bioconductor version: 3.23 · Package version: 1.26.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Here we present Link-HD, an approach to integrate heterogeneous datasets, as a generalization of STATIS-ACT (“Structuration des Tableaux A Trois Indices de la Statistique–Analyse Conjointe de Tableaux”), a family of methods to join and compare information from multiple subspaces. However, STATIS-ACT has some drawbacks since it only allows continuous data and it is unable to establish relationships between samples and features. In order to tackle these constraints, we incorporate multiple distance options and a linear regression based Biplot model in order to stablish relationships between observations and variable and perform variable selection.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("LinkHD")Details
| Maintainer | "Laura M Zingaretti" <m.lau.zingaretti@gmail.com> |
| Author | Laura M. Zingaretti [aut, cre] |
| License | GPL-3 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, MultipleComparison, Regression, Software |
| Package Short Url | https://bioconductor.org/packages/LinkHD/ |
Citation
From within R, enter citation("LinkHD"):
Laura M. Zingaretti. LinkHD: LinkHD: a versatile framework to explore and integrate heterogeneous data. doi:10.18129/B9.bioc.LinkHD, R package version 1.26.0, https://bioconductor.org/packages/LinkHD.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | LinkHD_1.26.0.tar.gz |
| Windows binary (x86_64) | LinkHD_1.26.0.zip |
| macOS binary (arm64) | LinkHD_1.26.0.tgz |
| macOS binary (x86_64) | LinkHD_1.26.0.tgz |
Dependencies
Depends: R (>= 3.6.0), methods, ggplot2, stats
Imports: scales, cluster, graphics, ggpubr, gridExtra, vegan, rio, MultiAssayExperiment, emmeans, reshape2, data.table
Suggests: MASS (>= 7.3.0), knitr, rmarkdown, BiocStyle