title: PROCESS FLOW FOR CLASSIFICATION AND CLUSTERING OF FRUIT FLY GENE EXPRESSION PATTERNS.
abstract: The rapidly growing collection of fruit fly embryo images makes automated Image Segmentation and classification an indispensable requirement for a large-scale analysis of in situ hybridization (ISH) - gene expression patterns (GEP). We present here such an automated process flow for Segmenting, Classification, and Clustering large-scale sets of Drosophila melanogaster GEP that is capable of dealing with most of the complications implicated in the images.
authors.affiliation: Interdisciplinary Centre for Bioinformatics, University of Leipzig, Härtelstraβe 16-18, 04107 Leipzig.
authors.forename: Andreas
authors.initials: A
authors.lastname: Heffel
authors.forename: Peter F
authors.initials: PF
authors.lastname: Stadler
authors.forename: Sonja J
authors.initials: SJ
authors.lastname: Prohaska
authors.forename: Gerhard
authors.initials: G
authors.lastname: Kauer
authors.forename: Jens-Peer
authors.initials: JP
authors.lastname: Kuska