document: Automatic mining of fruit fly embryo images We present FEMine , an automatic system for image-based gene expression analysis . We perform experiments on the largest publicly available collection of Drosophila ISH ( in situ hybridization ) images , showing that our FEMine system achieves excellent performance in classification , clustering , and content-based image retrieval . The major innovation of FEMine is the use of automatically discovered latent spatial `` themes '' of gene expressions , LGEs , in the whole-embryo context , as opposed to patterns in nearly disjoint portions of an embryo proposed in previous methods .
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