Technical Program

Paper Detail

Paper:	FR-PM-PS4.9
Session:	Cellular and Molecular Image Analysis
Time:	Friday, April 7, 13:30 - 14:50
Presentation:	Poster
Title:	Improved Comparison of Protein Subcellular Location Patterns
Authors:	Ting Zhao; Carnegie Mellon University
	Stalia Soto; Universidad Metropolitana
	Robert F. Murphy; Carnegie Mellon University
Abstract:	A common task in cell and molecular biology is to evaluate the difference or similarity among location patterns under different circumstances. Our previous work has described an automated method to objectively compare any pair of given location patterns using well-characterized numerical features. This paper describes an improved version of the previous comparison method by applying nonparametric testing and multiple testing methods. We show that the new approach has better performance for detecting differences, especially on small amounts of data. The new approach was also used to compare location patterns in a dataset containing 3D images. To demonstrate the application of the method, we collected images of drug-treated cells and then use the method to evaluate the effects of drugs on location patterns.

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