ISCB-Asia/SCCG 2012, session on Computational Statistics in Modern Biology


Yuanhui Xiao
Department of Mathematics and Statistics, Georgia State University

A statistical procedure for automated image selection

Abstract

Retinal pigment epithelium (RPE) is a key site of pathogenesis of age-related macular degeneration (AMD). The first step toward developing statistical quantifications of RPE morphology is image analysis of RPE flatmount. To facilitate image analysis, we developed an effective statistical algorithm that crops and selects good segments of RPE images; the method is applicable to many other biological images with spatially inhomogeneous features.

Biography

Yuanhui Xiao recieved a B.S. in Mathematics at Nanchang University and an M.S. in Mathematics from Nankai University in Jiangxi, China. He then moved the USA receiving an M.S. and Ph.D. in Statistics from the University of Georgia.

Yuanhui Xiao' research interests include the strong laws of large numbers and central limit theorems, categorical data analysis, generalized linear models and estimating equations, shot noise processes and time series, statistical software development and statistical computation, intraclass correlation and DNA microarray data analysis. He has published several research articles applying advanced statistical techniques to analyze biological or medical data.