pKSEA
Prediction-Based Kinase-Substrate Enrichment Analysis
A tool for inferring kinase activity changes from phosphoproteomics data. 'pKSEA' uses kinase-substrate prediction scores to weight observed changes in phosphopeptide abundance to calculate a phosphopeptide-level contribution score, then sums up these contribution scores by kinase to obtain a phosphoproteome-level kinase activity change score (KAC score). 'pKSEA' then assesses the significance of changes in predicted substrate abundances for each kinase using permutation testing. This results in a permutation score (pKSEA significance score) reflecting the likelihood of a similarly high or low KAC from random chance, which can then be interpreted in an analogous manner to an empirically calculated p-value. 'pKSEA' contains default databases of kinase-substrate predictions from 'NetworKIN' (NetworKINPred_db) http://networkin.info Horn, et. al (2014) doi:10.1038/nmeth.2968 and of known kinase-substrate links from 'PhosphoSitePlus' (KSEAdb) https://www.phosphosite.org/ Hornbeck PV, et. al (2015) doi:10.1093/nar/gku1267.
- Version0.0.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release12/22/2017
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Team
Peter Liao
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