| Autor: |
Zheng Yin, Xiaobo Zhou, Bakal, Chris, Li, Fuhai, Youxian Sun, Perrimon, Norbert, Wong, Stephen T. C. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 11/2/2007, Vol. 952 Issue 1, p86-95, 10p, 2 Diagrams, 3 Charts, 1 Graph |
| Abstrakt: |
Discovering and identifying novel phenotypes from images inputting online is a major challenge in high-content RNA interference (RNAi) screens. Discovered phenotypes should be visually distinct from existing ones and make biological sense. An online phenotype discovery method featuring adaptive phenotype modeling and iterative cluster merging using gap statistics is proposed. The method works well on discovering new phenotypes adaptively when applied to both of synthetic data sets and RNAi high content screen (HCS) images with ground truth labels. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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