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bioc
msmsTests:LC-MS/MS Differential Expression Tests
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.
Maintained by Josep Gregori i Font. Last updated 5 months ago.
immunooncologysoftwaremassspectrometryproteomics
4.86 score 15 scripts 1 dependents