PROFILING THE BRAIN WITH MICROARRAYS

data has become a major goal of bioinformatics.  In this talk I will focus

on our efforts of establishing standard protocols for data analysis: 1) Data

Storage; 2) Data Preprocessing: noise filtering, data transformation, and data calibration;

3) Statistical Decisions; 4) Machine Learning and Pattern Recognition; 5)

Knowledge and Data Fusion.  Through this analytical pipeline, microarray

data will be interpreted in a biological context.  This work is conducted

by a multidisciplinary team consisting of medical researchers,

bioinformaticians, scientific programmers, database administrators, and postdocs

with engineering backgrounds.  Results of studying a neurodegenerative

disease with clinical samples, and a mouse model for drug addiction will be

discussed.  Advantages of establishing microarray profiling centers for