https://github.com/bioconductor-source/sgcp
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
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.1%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: bioconductor-source
- Language: R
- Default Branch: devel
- Size: 4.11 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
README.md
SGCP : A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
SGC is a general pipline for gene co-expression network constructions and analysis. To install visit visit here.
Owner
- Name: (WIP DEV) Bioconductor Packages
- Login: bioconductor-source
- Kind: organization
- Email: maintainer@bioconductor.org
- Website: https://bioconductor.org
- Repositories: 1
- Profile: https://github.com/bioconductor-source
Source code for packages accepted into Bioconductor
GitHub Events
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Last Year
Dependencies
DESCRIPTION
cran
- R >= 4.2.0 depends
- DescTools * imports
- GO.db * imports
- GOstats * imports
- RColorBrewer * imports
- RSpectra * imports
- Rgraphviz * imports
- SummarizedExperiment * imports
- annotate * imports
- caret * imports
- dplyr * imports
- expm * imports
- genefilter * imports
- ggplot2 * imports
- ggridges * imports
- grDevices * imports
- graph * imports
- methods * imports
- openxlsx * imports
- org.Hs.eg.db * imports
- plyr * imports
- reshape2 * imports
- stats * imports
- xtable * imports
- BiocManager * suggests
- BiocStyle * suggests
- devtools * suggests
- knitr * suggests
- rmarkdown * suggests