果蝇基因表达模式分类和聚类的流程。

Andreas Heffel, Peter F Stadler, Sonja J Prohaska, Gerhard Kauer, Jens-Peer Kuska
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引用次数: 0

摘要

果蝇胚胎图像的快速增长使得自动图像分割和分类成为原位杂交(ISH)-基因表达模式(GEP)大规模分析的必要条件。我们在此介绍这种用于对大规模黑色果蝇基因表达模式集进行分割、分类和聚类的自动化流程,它能够处理图像中涉及的大多数复杂问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PROCESS FLOW FOR CLASSIFICATION AND CLUSTERING OF FRUIT FLY GENE EXPRESSION PATTERNS.

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.

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