BioConductor
msmsTests 1.18.0
LC-MS/MS Differential Expression Tests
Released Oct 2, 2013 by Josep Gregori i Font
Dependencies
msmsEDA 1.18.0 MSnbase 2.6.2 qvalue 2.12.0 edgeR 3.22.3
Statistical tests for label-free LC-MS/MS data by spectral counts, to discover differentially expressed proteins between two biological conditions. Three tests are available: Poisson GLM regression, quasi-likelihood GLM regression, and the negative binomial of the edgeR package.The three models admit blocking factors to control for nuissance variables.To assure a good level of reproducibility a post-test filter is available, where we may set the minimum effect size considered biologicaly relevant, and the minimum expression of the most abundant condition.