An Image Informatics Method for Automated Quantitative Analysis of Phenotype Visual Similarities.
An Image Informatics Method for Automated Quantitative Analysis of Phenotype Visual Similarities.
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DOI：
10.1109/lissa.2009.4906718
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发表时间：
2009-04-09
期刊：
影响因子：
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通讯作者：
Goldberg IG
中科院分区：
文献类型：
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作者：
Shamir L;Eckley DM;Delaney J;Orlov N;Goldberg IG
后基因组时代引入了在生物途径内定义单个基因功能的需要。系统生物学方法可以通过自动化图像采集和表型分类来实现。虽然自动数据采集的机器在过去几年中发展迅速，但主要瓶颈仍然是计算机视觉算法的有效性。在这里，我们描述了一个完全自动化的过程，用于在从RNAi筛选获得的数据集中发现表型相似性。算法的源代码可供免费下载。
The post genomic era introduced the need to define single gene functions within biological pathways. A systems biology approach can be realized by automating image acquisition and phenotype classification. While machinery for automated data acquisition have been developing rapidly in the past years, the main bottleneck remains the effectiveness of the computer vision algorithms. Here we describe a fully automated process for finding phenotype similarities within a dataset acquired from an RNAi screen. The source code for the algorithms is available for free download.