Automatic classification of embryonic fruit fly gene expression patterns
A Heffel, SJ Prohaska, PF Stadler, G Kauer… - … 22. bis 25. März 2009 in …, 2009 - Springer
A Heffel, SJ Prohaska, PF Stadler, G Kauer, JP Kuska
Bildverarbeitung für die Medizin 2009: Algorithmen—Systeme—Anwendungen …, 2009•SpringerCarefully 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.
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.
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.
Springer
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