TDbasedUFE
This is a R package that intends to perform all the features possible by tensor decomposition based unsupervised feature extraction
Science Score: 13.0%
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Found 5 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (11.0%) to scientific vocabulary
Keywords
bioinformatics
dna-methylation
gene-expression-profiles
histone-modifications
multiomics
tensor-decomposition
Last synced: 6 months ago
·
JSON representation
Repository
This is a R package that intends to perform all the features possible by tensor decomposition based unsupervised feature extraction
Statistics
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
bioinformatics
dna-methylation
gene-expression-profiles
histone-modifications
multiomics
tensor-decomposition
Created about 3 years ago
· Last pushed almost 3 years ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# TDbasedUFE
The goal of TDbasedUFE is to ...
## Installation
``` r
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TDbasedUFE")
```
You can install the latest release of TDbasedUFE from
[GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("tagtag/TDbasedUFE@v0.1.0")
```
You can install the development version of
TDbasedUFE from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("tagtag/TDbasedUFE",build_vignettes = TRUE)
```
or if it does not work, try
``` r
# install.packages("devtools")
devtools::install_github("tagtag/TDbasedUFE")
```
# TDbasedUFE
**Tensor decomposition based unsupervised feature extraction**
## Manuscript
The theoretical back ground of this package was described in the following book:
***"Unsupervised Feature Extraction Applied to Bioinformatics:
A PCA Based and TD Based Approach"*** by Y-h. Taguchi
Please cite the book as:
```latex
@book{Taguchi2020,
doi = {10.1007/978-3-030-22456-1},
url = {https://doi.org/10.1007/978-3-030-22456-1},
year = {2020},
publisher = {Springer International Publishing},
author = {Y-H. Taguchi},
title = {Unsupervised Feature Extraction Applied to Bioinformatics}
}
```
[![DOI]](https://doi.org/10.1007/978-3-030-22456-1)
## Vignettes
How to use it
vignette("QuickStart")
For more theoretical background
vignette("TDbasedUFE")
Owner
- Name: Y-h. Taguchi
- Login: tagtag
- Kind: user
- Location: Tokyo, Japan
- Company: Chuo University
- Website: https://researchmap.jp/Yh_Taguchi/?lang=english
- Repositories: 2
- Profile: https://github.com/tagtag
I was selected as top 2% researchers by Stanford Univ. http://is.gd/MJ0pDm My book was published from Springer. http://bit.ly/31uMVTK
GitHub Events
Total
Last Year
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| tagtag | t****g@g****m | 49 |
Committer Domains (Top 20 + Academic)
granular.com: 1
Packages
- Total packages: 1
-
Total downloads:
- bioconductor 5,482 total
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
bioconductor.org: TDbasedUFE
Tensor Decomposition Based Unsupervised Feature Extraction
- Homepage: https://github.com/tagtag/TDbasedUFE
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/TDbasedUFE/inst/doc/TDbasedUFE.pdf
- License: GPL-3
-
Latest release: 1.8.0
published 9 months ago
Rankings
Dependent repos count: 0.0%
Forks count: 19.8%
Dependent packages count: 19.9%
Stargazers count: 29.0%
Average: 33.1%
Downloads: 97.0%
Maintainers (1)
Last synced:
6 months ago
Dependencies
DESCRIPTION
cran
- GenomicRanges * imports
- MOFAdata * imports
- graphics * imports
- methods * imports
- rTensor * imports
- readr * imports
- stats * imports
- tximport * imports
- tximportData * imports
- utils * imports
- BiocStyle * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat >= 3.0.0 suggests