UW Biiostatistics & Medical Informatics UW Biostatistics & Medical Informatics UW Madison UW Biostatistics & Medical Informatics Site Map
UW School of Medicine and Public Health UW Madison



Other Seminar Series


General Departmental Seminar Series

Reassessing design and analysis of two-colour microarray
experiments using mixed effects models.

Guilherme Rosa
Departments of Animal Science and Fisheries & Wildlife
Michigan State University

Friday, March 11, 2005, 12:00 - 1:00 pm

3265 MSC


Gene expression microarray studies have lead to interesting experimental design and statistical analysis challenges. The comparison of expression profiles across groups or populations (within experimental or observational settings) is one of the most common objectives of microarrays experiments. In this presentation we will discuss some issues regarding design and statistical analysis for two color microarray platforms using mixed linear models, with special attention directed towards a distinction of the different hierarchical levels of replication and the consequent effect on the use of appropriate error terms for comparing experimental groups. We will review the traditional analysis of variance (ANOVA) models proposed for microarray data with their extensions to hierarchically replicated experiments. We will also suggest and compare linear mixed models suitable for the analysis of either log ratios or log intensityvalues, denoting the similarity between both approaches in the presence of multiple sources of variability. In addition, we will discuss the relative efficiency of different experimental designs for microarray experiments within a hierarchical replication context.

Return to seminar list


Internal Use | Site Map | Search |
Overview | People | Training | Research | Seminars | Employment | Links |
Biostatistics Program | Clinical Trials Program | Medical Informatics Program | Biomedical Computing |

Copyright © 2006 The Board of Regents of the
University of Wisconsin System


UW Madison UW School of Medicine and Public Health