Statistical Engineering Division Seminar

Zhijin (Jean) Wu
Assistant Professor of Biostatistics
Brown University
Statistical Engineering Division Seminar
Wednesday, February 28, 2007, 10:30-11:30 AM
Building 222, Room A240

Abstract

High density oligonucleotide expression arrays are widely used in many areas in biomedical research. In this technology, a number of critical steps are required to convert the raw measures into the data relied upon by biologists and clinicians. These data manipulations, referred to as preprocessing, have enormous influence on the quality of the ultimate measurements and studies that rely upon them. In this talk I will r eview the major preprocessing steps and present a statistical framework on probe level data that applies to most microarray applications. Examples of model based preprocessing procedures for gene expression data and unified method that integrates preprocessing into the standard statistical analysis flow of microarray data will be shown.