Computational Analysis of Drosophila Gene Expression Pattern Images
Arizona State University
Friday, March 14, 2008
Talk: 11:00 am - 12:00 pm
Host: Rong Jin
Gene expression in a developing embryo occurs in particular cells (spatial patterns) in a time-specific manner (temporal patterns), which leads to the differentiation of cell fates. Images of a Drosophila melanogaster embryo at a given developmental stage, showing a particular gene expression pattern revealed by a gene-specific probe, can be compared for spatial overlaps. The comparison is fundamentally important to formulating and testing gene interaction hypotheses. Expression pattern comparison is most biologically meaningful when images from a similar time point (developmental stage) are compared. In this talk, I will present our recent developments in automatic developmental stage annotation and overlapping expression pattern identification using machine learning techniques.
Jieping Ye is an Assistant Professor of the Department of Computer Science and Engineering at the Arizona State University (ASU), and a core faculty member of the Center for Evolutionary Functional Genomics at the Bio-design Institute at ASU. He received his Ph.D. in Computer Science from University of Minnesota, Twin Cities in 2005. His research interests are concentrated in the areas of machine learning, data mining, and bioinformatics. He won the outstanding student paper award at the Twenty-First International Conference on Machine Learning in 2004 and the SCI Young Investigator of the Year award at ASU in 2007.