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.
Package details |
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Author | Josep Gregori, Alex Sanchez, and Josep Villanueva |
Bioconductor views | ImmunoOncology MassSpectrometry Proteomics Software |
Maintainer | Josep Gregori i Font <josep.gregori@gmail.com> |
License | GPL-2 |
Version | 1.28.0 |
Package repository | View on Bioconductor |
Installation |
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