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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Main Author: Sng, Jonathan Zan Jie.
Other Authors: Kwoh Chee Keong
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48557
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Sng, Jonathan Zan Jie.
Predicting and benchmarking human protein complexes
description 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.
author2 Kwoh Chee Keong
author_facet Kwoh Chee Keong
Sng, Jonathan Zan Jie.
format Final Year Project
author Sng, Jonathan Zan Jie.
author_sort 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
title_fullStr Predicting and benchmarking human protein complexes
title_full_unstemmed Predicting and benchmarking human protein complexes
title_sort predicting and benchmarking human protein complexes
publishDate 2012
url http://hdl.handle.net/10356/48557
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