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BMCBI
2007

A multiresolution approach to automated classification of protein subcellular location images

9 years 11 months ago
A multiresolution approach to automated classification of protein subcellular location images
Background: Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for automated methods to analyze the resulting images. Over the past ten years, the feasibility of using machine learning methods to recognize all major subcellular location patterns has been convincingly demonstrated, using diverse feature sets and classifiers. On a well-studied data set of 2D HeLa
Amina Chebira, Yann Barbotin, Charles Jackson, Tho
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2007
Where BMCBI
Authors Amina Chebira, Yann Barbotin, Charles Jackson, Thomas E. Merryman, Gowri Srinivasa, Robert F. Murphy, Jelena Kovacevic
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