PROCESS FLOW FOR CLASSIFICATION AND CLUSTERING OF FRUIT FLY GENE EXPRESSION PATTERNS.
PROCESS FLOW FOR CLASSIFICATION AND CLUSTERING OF FRUIT FLY GENE EXPRESSION PATTERNS.
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DOI：
10.1109/icip.2008.4711856
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发表时间：
2008-12-12
期刊：
影响因子：
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通讯作者：
Kuska JP
中科院分区：
文献类型：
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作者：
Heffel A;Stadler PF;Prohaska SJ;Kauer G;Kuska JP
快速增长的果蝇图像的收集使自动图像分割和分类是对原位杂交（ISH）的大规模分析（GEP）的大规模分析（GEP）。分类和聚类大规模的果蝇Melanogaster GEP，能够处理图像中实现的大多数并发症。
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.