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A NOVEL APPROXIMATE INFERENCE APPROACH TO AUTOMATED CLASSIFICATION OF PROTEIN SUBCELLULAR LOCATION PATTERNS IN MULTI-CELL IMAGES Shann-Ching Chen1, Geoffrey J. Gordon3, and Robert F. Murphy1,2,3 Department of Biomedical
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Document Date: 2007-01-15 11:10:25

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File Size: 106,66 KB

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City

Cambridge / /

Company

Belief Networks / MIT Press / Intelligent Systems / /

Country

Jordan / United States / /

Currency

USD / /

Facility

Carnegie Mellon University / /

IndustryTerm

biological systems / junction tree algorithm / inference algorithm / imaging / http /

Organization

J. Gordon3 / and Robert F. Murphy1 / 2 / 3 Department of Biomedical Engineering1 / Carnegie Mellon University / Pittsburgh / Center for Automated Learning and Discovery3 / National Science Foundation / MIT / US Federal Reserve / Department of Biological Sciences2 / /

Person

Z. E. Perlman / Morgan Kaufmann / /

ProvinceOrState

Pennsylvania / /

PublishedMedium

Genome Research / Machine Learning / /

Technology

inference algorithm / proteomics / Bioinformatics / Machine Learning / junction tree algorithm / Automatic Identification / antibodies / drug screening / /

URL

http /

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