@inproceedings{e027f972bb7f46ae8bd8442f6c38f83b,
title = "Automated image analysis and inference of gene function from high - Content screens",
abstract = "The study of tumor biology and heterogeneity is of high importance for identifying viable cancer therapeutics. A high content RNAi screen is carried out to identify genes that induce varied tumor morphologies. We present a novel automated pipeline to identify and interpret gene function by extracting morphological features of tumor cell aggregates, in large scale 3D RNAi screens. We use a 'bag of words' based clustering approach to distinguish multiple phenotypes. Functional analysis of genes underlying the phenotypic clusters reveals the role of growth and invasion modulators in shaping tumor cell morphology and heterogeneity.",
keywords = "affinity propagation clustering, earth movers distance, high content screening, image analysis, image processing, machine learning, textural features",
author = "Raja, {Priyanka J.} and Justin Jacob and Yoon, {Byung Jun} and Geofferey Bartholomeusz and Arvind Rao",
year = "2013",
language = "English (US)",
isbn = "9780992862602",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
booktitle = "2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013",
note = "2013 21st European Signal Processing Conference, EUSIPCO 2013 ; Conference date: 09-09-2013 Through 13-09-2013",
}