dea_limma: Univariate differential expression analysis with...

In biospi/bayesprot: Bayesian Protein-level Quantification for Proteomics

Description

The model is performed pair-wise across the levels of the 'Condition' in 'data.design'. Default is a standard Student's t-test model. todo: see http://www.metafor-project.org/doku.php/tips:rma_vs_lm_lme_lmer todo: https://stats.stackexchange.com/questions/142685/equivalent-to-welchs-t-test-in-gls-framework

Usage

dea_limma(fit, data = protein_quants(fit), data.design = design(fit),
  condition = "Condition", output = "limma", save.intercept = FALSE,
  as.data.table = FALSE, ..., use.moderation = TRUE,
  use.precision = TRUE)

biospi/bayesprot documentation built on Nov. 9, 2019, 2:40 p.m.