Loading...
Please wait, while we are loading the content...
Similar Documents
Abstract automatic mining of fruit fly embryo images ∗.
| Content Provider | CiteSeerX |
|---|---|
| Author | Pan, Jia-Yu Xing, Eric P. Traina, Machado Balan, Ribeiro Guilherme, André Juci, Agma Faloutsos, Christos |
| Abstract | 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. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Disjoint Portion Previous Method Latent Spatial Theme Situ Hybridization Femine System Drosophila Ish Fruit Fly Embryo Image Major Innovation Excellent Performance Gene Expression Abstract Automatic Mining Automatic System Whole-embryo Context Content-based Image Retrieval Present Femine Available Collection Image-based Gene Expression Analysis |
| Content Type | Text |
