TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning
The topology prediction of transmembrane protein is a hot research field in bioinformatics and molecular biology. It is a typical pattern recognition problem. Various prediction algorithms are developed to predict the transmembrane protein topology since the experimental techniques have been restric...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/123731 |
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| _version_ | 1832554424428396544 |
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| author | Xinyang Deng Qi Liu Yong Hu Yong Deng |
| author_facet | Xinyang Deng Qi Liu Yong Hu Yong Deng |
| author_sort | Xinyang Deng |
| collection | DOAJ |
| description | The topology prediction of transmembrane protein is a hot research field in bioinformatics and molecular biology. It is a typical pattern recognition problem. Various prediction algorithms are developed to predict the transmembrane protein topology since the experimental techniques have been restricted by many stringent conditions. Usually, these individual prediction algorithms depend on various principles such as the hydrophobicity or charges of residues. In this paper, an evidential topology prediction method for transmembrane protein is proposed based on evidential reasoning, which is called TOPPER (topology prediction of transmembrane protein based on evidential reasoning). In the proposed method, the prediction results of multiple individual prediction algorithms can be transformed into BPAs (basic probability assignments) according to the confusion matrix. Then, the final prediction result can be obtained by the combination of each individual prediction base on Dempster’s rule of combination. The experimental results show that the proposed method is superior to the individual prediction algorithms, which illustrates the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-6eb470398b4a47cd948a5fb9c4db3ef3 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-6eb470398b4a47cd948a5fb9c4db3ef32025-02-03T05:51:31ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/123731123731TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential ReasoningXinyang Deng0Qi Liu1Yong Hu2Yong Deng3School of Computer and Information Science, Southwest University, Chongqing 400715, ChinaSchool of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, ChinaInstitute of Business Intelligence and Knowledge Discovery, Guangdong University of Foreign Studies, Sun Yat-sen University, Guangzhou 510006, ChinaSchool of Computer and Information Science, Southwest University, Chongqing 400715, ChinaThe topology prediction of transmembrane protein is a hot research field in bioinformatics and molecular biology. It is a typical pattern recognition problem. Various prediction algorithms are developed to predict the transmembrane protein topology since the experimental techniques have been restricted by many stringent conditions. Usually, these individual prediction algorithms depend on various principles such as the hydrophobicity or charges of residues. In this paper, an evidential topology prediction method for transmembrane protein is proposed based on evidential reasoning, which is called TOPPER (topology prediction of transmembrane protein based on evidential reasoning). In the proposed method, the prediction results of multiple individual prediction algorithms can be transformed into BPAs (basic probability assignments) according to the confusion matrix. Then, the final prediction result can be obtained by the combination of each individual prediction base on Dempster’s rule of combination. The experimental results show that the proposed method is superior to the individual prediction algorithms, which illustrates the effectiveness of the proposed method.http://dx.doi.org/10.1155/2013/123731 |
| spellingShingle | Xinyang Deng Qi Liu Yong Hu Yong Deng TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning The Scientific World Journal |
| title | TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning |
| title_full | TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning |
| title_fullStr | TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning |
| title_full_unstemmed | TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning |
| title_short | TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning |
| title_sort | topper topology prediction of transmembrane protein based on evidential reasoning |
| url | http://dx.doi.org/10.1155/2013/123731 |
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