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https://scholarbank.nus.edu.sg/handle/10635/28160
DC Field | Value | |
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dc.title | Graph - Based Methods for Protein Function Prediction | |
dc.contributor.author | CHUA HON NIAN | |
dc.date.accessioned | 2011-11-08T18:01:00Z | |
dc.date.available | 2011-11-08T18:01:00Z | |
dc.date.issued | 2008-04-03 | |
dc.identifier.citation | CHUA HON NIAN (2008-04-03). Graph - Based Methods for Protein Function Prediction. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/28160 | |
dc.description.abstract | With the completion of the Human Genome Project, new challenges lie ahead in deciphering the complex functional and interactive processes between proteins and multi-component molecular machines that contribute to the majority of operations in cells, as well as the transcriptional regulatory mechanisms and pathways that control these cellular processes. This thesis describes a series of graph-based methods for automated protein function prediction. These include a novel hypothesis of using the indirect interaction partners of proteins for protein function prediction, a systematic preprocessing technique for protein complex discovery, as well as an efficient probabilistic framework for integrating multiple sources of heterogeneous information for protein function prediction. | |
dc.language.iso | en | |
dc.subject | protein function prediction datamining graph bioinformatics | |
dc.type | Thesis | |
dc.contributor.department | NUS GRAD SCH FOR INTEGRATIVE SCI & ENGG | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Ph.D Theses (Open) |
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Thesis_Final.pdf | 1.23 MB | Adobe PDF | OPEN | None | View/Download |
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