论文信息 - Online Phenotype Discovery in High‐Content RNAi Screens using Gap Statistics

Online Phenotype Discovery in High‐Content RNAi Screens using Gap Statistics

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.

[1] X. Zhou,et al. Optimisation of Gaussian mixture model for satellite image classification , 2006 .

[2] C. Bakal,et al. Quantitative Morphological Signatures Define Local Signaling Networks Regulating Cell Morphology , 2007, Science.

[3] Xiaobo Zhou,et al. Towards Automated Cellular Image Segmentation for RNAi Genome-Wide Screening , 2005, MICCAI.

[4] Adam A. Friedman,et al. Genetic Screening for Signal Transduction in the Era of Network Biology , 2007, Cell.

[5] Stephen T. C. Wong,et al. An automated feedback system with the hybrid model of scoring and classification for solving over‐segmentation problems in RNAi high content screening , 2007, Journal of microscopy.

[6] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .

[7] C. A. Murthy,et al. Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[8] Robert Tibshirani,et al. Estimating the number of clusters in a data set via the gap statistic , 2000 .

[9] Guanglei Xiong,et al. Automated Segmentation of Drosophila RNAi Fluorescence Cellular Images Using Deformable Models , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[10] A. Coulson,et al. A functional genomic analysis of cell morphology using RNA interference , 2003, Journal of biology.

[11] N. Perrimon,et al. High-throughput RNAi screening in cultured cells: a user's guide , 2006, Nature Reviews Genetics.