https://github.com/bioconductor-source/sispa
Science Score: 26.0%
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Low similarity (5.1%) to scientific vocabulary
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Basic Info
- Host: GitHub
- Owner: bioconductor-source
- Language: HTML
- Default Branch: devel
- Size: 2.47 MB
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Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Changelog
README.txt
SISPA: Method for Sample Integrated Set Profile Analysis
Authors:
- Bhakti Dwivedi (1)
- Jeanne Kowalski (1,2)
Maintainer:
- Bhakti Dwivedi
Affiliations:
(1) Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
(2) Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
Installation:
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install(version='devel')
BiocManager::install("SISPA")
Getting Started:
See ./vignettes/SISPA.pdf or ./vignettes/SISPA.html
To cite the SISPA method:
Kowalski J, Dwivedi B, Newman S, Switchenko JM, Pauly R, Gutman DA, Arora J, Gandhi K, Ainslie K, Doho G, Qin Z, Moreno CS, Rossi MR, Vertino PM, Lonial S, Bernal-Mizrachi L, Boise LH. Gene integrated set profile analysis: a context-based approach for inferring biological endpoints. Nucleic Acids Res. 2016 Apr 20;44(7):e69. doi: 10.1093/nar/gkv1503. Epub 2016 Jan 29. PubMed PMID: 26826710; PubMed Central PMCID: PMC4838358
To cite the SISPA Bioconductor package:
Dwivedi B and Kowalski J (2016). SISPA: SISPA: Method for Sample Integrated Set Profile Analysis. R package version 1.8.0.
To cite the SISPA shiny web-tool (http://shinygispa.winship.emory.edu/shinySISPA/):
Dwivedi B and Kowalski J. shinySISPA: A web tool for defining sample groups using gene sets from multiple-omics data. F1000Research 2018, 7:213 (doi: 10.12688/f1000research.13934.1)
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
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Dependencies
DESCRIPTION
cran
- GSVA * depends
- R >= 3.5 depends
- changepoint * depends
- genefilter * depends
- data.table * imports
- ggplot2 * imports
- plyr * imports
- knitr * suggests