Analysis of oligonucleotide array experiments with repeated measures using mixed models

• Published in: BMC bioinformatics Vol. 5; no. 1; p. 209
• Main Authors: Li, Hao, Wood, Constance L, Getchell, Thomas V, Getchell, Marilyn L, Stromberg, Arnold J
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 30.12.2004; BioMed Central; BMC
• Subjects: Algorithms; Alzheimer Disease - metabolism; Cerebellum - pathology; Computational Biology - methods; Computer Simulation; Data Interpretation, Statistical; Down-Regulation; Gene Expression Profiling; Humans; Models, Biological; Models, Genetic; Models, Statistical; Multivariate Analysis; Olfactory Bulb - pathology; Oligonucleotide Array Sequence Analysis - methods; Reproducibility of Results; Software; Up-Regulation

Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients with Alzheimer's disease) or absence (Control) of the disease, and brain regions including olfactory bulb (OB) or cerebellum (C...