Semi-supervised learning from temporal and spatial patterns of gene expression in Drosophila

Semi-supervised learning from temporal and spatial patterns of gene expression in Drosophila

Statistics and Genomics Seminar
Feb 11, 2010, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Alexander Schliep, Department of Computer Science, Rutgers, The State University of New Jersey (Speaker)
Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. Complimentary large data sets of in situ RNA hybridization images for different stages of the fly embryo elucidate the spatial expression patterns. Using a semi-supervised approach, constrained clustering with...