Predicting and benchmarking human protein complexes
Yeast is currently a model organism where many methods have been proposed for protein complexes. Benchmark complexes are also collected for evaluation of existing complex detection methods. However, the studies on human protein complexes are rather limited. This project has three main tasks. First,...
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sg-ntu-dr.10356-485572023-03-03T20:36:32Z Predicting and benchmarking human protein complexes Sng, Jonathan Zan Jie. Kwoh Chee Keong School of Computer Engineering Centre for Computational Intelligence DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Yeast is currently a model organism where many methods have been proposed for protein complexes. Benchmark complexes are also collected for evaluation of existing complex detection methods. However, the studies on human protein complexes are rather limited. This project has three main tasks. First, it is to collect known human protein complexes from existing databases and literature, for example, CUROM. Second, we can apply existing methods that are proposed for detecting yeast protein complexes to detect human protein complexes from human protein-protein interaction data. Third, we will evaluate our predicted complexes based on our collected benchmark complexes. Bachelor of Engineering (Computer Engineering) 2012-04-26T03:55:17Z 2012-04-26T03:55:17Z 2008 2008 Final Year Project (FYP) http://hdl.handle.net/10356/48557 en Nanyang Technological University 92 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Sng, Jonathan Zan Jie. Predicting and benchmarking human protein complexes |
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Yeast is currently a model organism where many methods have been proposed for protein complexes. Benchmark complexes are also collected for evaluation of existing complex detection methods. However, the studies on human protein complexes are rather limited. This project has three main tasks. First, it is to collect known human protein complexes from existing databases and literature, for example, CUROM. Second, we can apply existing methods that are proposed for detecting yeast protein complexes to detect human protein complexes from human protein-protein interaction data. Third, we will evaluate our predicted complexes based on our collected benchmark complexes. |
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Kwoh Chee Keong |
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Kwoh Chee Keong Sng, Jonathan Zan Jie. |
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Final Year Project |
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Sng, Jonathan Zan Jie. |
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Sng, Jonathan Zan Jie. |
title |
Predicting and benchmarking human protein complexes |
title_short |
Predicting and benchmarking human protein complexes |
title_full |
Predicting and benchmarking human protein complexes |
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Predicting and benchmarking human protein complexes |
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Predicting and benchmarking human protein complexes |
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predicting and benchmarking human protein complexes |
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2012 |
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http://hdl.handle.net/10356/48557 |
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