TDbasedUFEadv
Advanced package of tensor decomposition based unsupervised feature extraction
Bioconductor version: 3.23 · Package version: 1.12.1
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. In contrast to TDbasedUFE which can perform simple the feature selection and the multiomics analyses, this package can perform more complicated and advanced features, but they are not so popularly required. Only users who require more specific features can make use of its functionality.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TDbasedUFEadv")Details
| Maintainer | Y-h. Taguchi <tag@granular.com> |
| Author | Y-h. Taguchi [aut, cre] (ORCID: <https://orcid.org/0000-0003-0867-8986>) |
| License | GPL-3 |
| URL | https://github.com/tagtag/TDbasedUFEadv |
| Bug Reports | https://github.com/tagtag/TDbasedUFEadv/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | FeatureExtraction, GeneExpression, MethylationArray, SingleCell, Software |
| Package Short Url | https://bioconductor.org/packages/TDbasedUFEadv/ |
Citation
From within R, enter citation("TDbasedUFEadv"):
Y-h. Taguchi. TDbasedUFEadv: Advanced package of tensor decomposition based unsupervised feature extraction. doi:10.18129/B9.bioc.TDbasedUFEadv, R package version 1.12.1, https://bioconductor.org/packages/TDbasedUFEadv.
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 | TDbasedUFEadv_1.12.1.tar.gz |
| Windows binary (x86_64) | TDbasedUFEadv_1.12.1.zip |
| macOS binary (arm64) | TDbasedUFEadv_1.12.1.tgz |
| macOS binary (x86_64) | TDbasedUFEadv_1.12.1.tgz |
Dependencies
Imports: TDbasedUFE, Biobase, GenomicRanges, utils, rTensor, methods, graphics, stats, hash, shiny
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), RTCGA.rnaseq, RTCGA.clinical, BiocStyle, MOFAdata, STRINGdb, enrichR, enrichplot, DOSE, gson, ggplot2