Automatic Classification of Embryonic Fruit Fly Gene Expression Patterns

Abstract

Abstract. Carefully studied in-situ hybridization Gene expression patterns (GEP) can provide a first glance at possible relationships among genes. Automatic comparative analysis tools are an indispensable requirement to manage the constantly growing amount of such GEP images. We present here an automated processing pipeline for Segmenting, Classification, and Clustering large-scale sets of Drosophila melanogaster GEP images that facilitates automatic GEP analysis.