ingres
Inferring Probabilistic Boolean Networks of Gene Regulation Using Protein Activity Enrichment Scores
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 5 DOI reference(s) in README -
○Academic publication links
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○Committers with academic emails
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○Scientific vocabulary similarity
Low similarity (12.1%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Inferring Probabilistic Boolean Networks of Gene Regulation Using Protein Activity Enrichment Scores
Basic Info
- Host: GitHub
- Owner: CBigOxf
- License: gpl-3.0
- Language: R
- Default Branch: master
- Homepage: https://cbigoxf.github.io/ingres/
- Size: 42.3 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 1
- Releases: 0
Created almost 5 years ago
· Last pushed over 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%"
)
```
# ingres
[](https://app.codecov.io/gh/CBigOxf/ingres)
[](https://github.com/CBigOxf/ingres/actions)
[](https://doi.org/10.1101/2022.09.04.506528)
***I**nferring Probabilistic Boolean **N**etworks of **G**ene **R**egulation Using Protein Activity **E**nrichment **S**cores*
Given a gene regulatory boolean network and a RNA-seq dataset, **ingres** computes protein activity normalised enrichment scores using VIPER, and then produces a probabilistic network using the scores as probabilities for fixed node activation or deactivation, in addition to the original boolean functions.
## Installation
You can install **ingres** from CRAN:
``` r
install.packages("ingres")
```
Or you can install the development version of **ingres** with:
``` r
# install.packages("devtools")
devtools::install_github("CBigOxf/ingres")
```
You may need to manually install some of the BioConductor dependencies before you can install **ingres**:
``` r
# install.packages("BiocManager")
BiocManager::install(c("viper", "AnnotationDbi", "org.Hs.eg.db", "aracne.networks"))
```
## Citation
To cite **ingres** in publications use:
| *Victori, P. & Buffa, F. M. Ingres: from single-cell RNA-seq data to single-cell probabilistic Boolean networks. 2022.09.04.506528 Preprint at (2022).*
Owner
- Name: CBigOxf
- Login: CBigOxf
- Kind: organization
- Email: francesca.buffa@oncology.ox.ac.uk
- Location: Oxford
- Website: https://www.oncology.ox.ac.uk/research/francesca-buffa
- Repositories: 2
- Profile: https://github.com/CBigOxf
GitHub Events
Total
Last Year
Committers
Last synced: over 3 years ago
All Time
- Total Commits: 175
- Total Committers: 2
- Avg Commits per committer: 87.5
- Development Distribution Score (DDS): 0.011
Top Committers
| Name | Commits | |
|---|---|---|
| Pedro Victori | f****a@g****m | 173 |
| Pedro Victori | 2****i@u****m | 2 |
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
cran.r-project.org: ingres
Infer Gene Probabilistic Boolean Networks from Single-Cell Data
- Homepage: https://github.com/CBigOxf/ingres
- Documentation: http://cran.r-project.org/web/packages/ingres/ingres.pdf
- License: GPL (≥ 3)
- Status: removed
-
Latest release: 1.0.0
published almost 4 years ago
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 31.7%
Dependent repos count: 35.5%
Average: 43.1%
Downloads: 89.7%
Last synced:
almost 3 years ago
Dependencies
DESCRIPTION
cran
- R >= 3.6.0 depends
- AnnotationDbi * imports
- Seurat * imports
- dplyr * imports
- ggplot2 * imports
- ggpubr * imports
- ggraph * imports
- igraph * imports
- magrittr * imports
- methods * imports
- org.Hs.eg.db * imports
- purrr * imports
- readr * imports
- rlang * imports
- scales * imports
- stringr * imports
- tibble * imports
- tidygraph * imports
- tidyr * imports
- tidyselect * imports
- usethis * imports
- viper * imports
- BoolNet * suggests
- aracne.networks * suggests
- covr * suggests
- knitr * suggests
- plotly >= 4.10.0 suggests
- rmarkdown * suggests
- shiny * suggests
- testthat >= 3.0.0 suggests
- withr * suggests