PPInfer
Most biological processes involve interactions between proteins. Proteins often function in networks associated with other proteins and biomolecules. To identify such interactions, a variety of experimental methods have been developed. These methods have led to the development of numerous computational approaches for modeling and predicting protein interactions.
PPInfer is a software tool that uses a network-based statistical learning method to infer the putative functions of proteins from the known functions of their neighboring proteins on a PPI network. This tool is particularly useful for identifying proteins often involved in the same or similar biological functions.
Topic
Molecular interactions, pathways and networks;Statistics and probability;Protein interactions
Detail
Operation: Gene-set enrichment analysis
Software interface: Library
Language: R
License: The Artistic License 2.0
Cost: Free
Version name: 1.26.0
Credit: -
Input: -
Output: -
Contact: Dongmin Jung dmdmjung@gmail.com
Collection: -
Maturity: Stable
Publications
- -
- https://doi.org/10.18129/B9.bioc.PPInfer
- PMID: -
- PMC: -
Download and documentation
Source: http://bioconductor.org/packages/release/bioc/src/contrib/PPInfer_1.26.0.tar.gz
Documentation: http://bioconductor.org/packages/release/bioc/manuals/PPInfer/man/PPInfer.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/PPInfer.html
Links: http://bioconductor.org/packages/release/bioc/vignettes/PPInfer/inst/doc/PPInfer.pdf
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