Enhancing protein-protein interaction prediction using multiple kernels
A protein-protein interaction (PPI) network indicates which pairs of proteins interact. Since proteins hardly perform alone, it is of essential to know which pairs of proteins interact with each other to perform the various bodily functions. However, experimental methods for PPI are tedious, laborio...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2015
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| Online Access: | http://hdl.handle.net/10356/62609 |
| _version_ | 1826121653816393728 |
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| author | Lek, Wei Long |
| author2 | Kwoh Chee Keong |
| author_facet | Kwoh Chee Keong Lek, Wei Long |
| author_sort | Lek, Wei Long |
| collection | NTU |
| description | A protein-protein interaction (PPI) network indicates which pairs of proteins interact. Since proteins hardly perform alone, it is of essential to know which pairs of proteins interact with each other to perform the various bodily functions. However, experimental methods for PPI are tedious, laborious and expensive. Thus, PPI prediction is of interest to researchers as it helps to identify such interactions. For example, functions of unknown or newly discovered proteins may be predicted through similarity with the interactions of similar known protein. Kernel methods have been used to predict PPIs. However, there is always demand for more accuracy. Hence, in this project, we want to enhance the PPI prediction by experimenting with different kernels with the aim of merging the best kernels to obtain improved results. We computed experiments for various kernels and the results were provided in this document. |
| first_indexed | 2024-10-01T05:35:44Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/62609 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:35:44Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/626092023-03-03T20:24:19Z Enhancing protein-protein interaction prediction using multiple kernels Lek, Wei Long Kwoh Chee Keong School of Computer Engineering Bioinformatics Research Centre DRNTU::Engineering::Computer science and engineering A protein-protein interaction (PPI) network indicates which pairs of proteins interact. Since proteins hardly perform alone, it is of essential to know which pairs of proteins interact with each other to perform the various bodily functions. However, experimental methods for PPI are tedious, laborious and expensive. Thus, PPI prediction is of interest to researchers as it helps to identify such interactions. For example, functions of unknown or newly discovered proteins may be predicted through similarity with the interactions of similar known protein. Kernel methods have been used to predict PPIs. However, there is always demand for more accuracy. Hence, in this project, we want to enhance the PPI prediction by experimenting with different kernels with the aim of merging the best kernels to obtain improved results. We computed experiments for various kernels and the results were provided in this document. Bachelor of Engineering (Computer Science) 2015-04-23T01:14:54Z 2015-04-23T01:14:54Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62609 en Nanyang Technological University 60 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Lek, Wei Long Enhancing protein-protein interaction prediction using multiple kernels |
| title | Enhancing protein-protein interaction prediction using multiple kernels |
| title_full | Enhancing protein-protein interaction prediction using multiple kernels |
| title_fullStr | Enhancing protein-protein interaction prediction using multiple kernels |
| title_full_unstemmed | Enhancing protein-protein interaction prediction using multiple kernels |
| title_short | Enhancing protein-protein interaction prediction using multiple kernels |
| title_sort | enhancing protein protein interaction prediction using multiple kernels |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/62609 |
| work_keys_str_mv | AT lekweilong enhancingproteinproteininteractionpredictionusingmultiplekernels |