Linear models for Microarray analysis
From Organic Design wiki
Overview of Limma package for R
- Fits a linear model for each spot (gene)
- Focus on normalization and statistical analysis of cDNA microarray gene expression data
- OOP environment for handling information in a microarray experiment
- Statistical analysis approach can be used for Affymetrix microarray experiments
- Essentially t-statistics for each spot/gene
- Uses between gene information in moderated t-statistics
- Computationally fast/robust
- Handles missing information/use defined flag information
- benefits/limitations?
- FDR control? → ranking better than selecting cutoff
