A review of computational approaches to predict gene functions
Recently, novel high-throughput biotechnologies have provided rich data about different genomes. However, manual annotation of gene function is time consuming. It is also very expensive and infeasible for the growing amounts of data. At present there are numerous functions in certain species that re...
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Bentham Science Publishers
2018
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Online Access: | http://discol.umk.edu.my/id/eprint/7406/ http://www.eurekaselect.com/156028/article |
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my.umk.eprints.74062022-05-23T09:59:22Z http://discol.umk.edu.my/id/eprint/7406/ A review of computational approaches to predict gene functions Swee Kuan Loh Swee Thing Low Lian En Chai Weng Howe Chan Mohd Saberi Mohamad Safaai Deris Zuwairie Ibrahim Shahreen Kasim Zuraini Ali Shah Hamimah Mohd Jamil Zalmiyah Zakaria Suhaimi Napis Recently, novel high-throughput biotechnologies have provided rich data about different genomes. However, manual annotation of gene function is time consuming. It is also very expensive and infeasible for the growing amounts of data. At present there are numerous functions in certain species that remain unknown or only partially known. Hence, the use of computational approaches to predicting gene function is becoming widespread. Computational approaches are time saving and less costly. Prediction analysis provided can be used in hypotheses to drive the biological validation of gene function. Objective: This paper reviews computational approaches such as the support vector machine, clustering, hierarchical ensemble and network-based approaches. Methods: Comparisons between these approaches are also made in the discussion portion. Results: In addition, the advantages and disadvantages of these computational approaches are discussed. Conclusion: With the emergence of omics data, the focus should be continued on integrating newly added data for gene functions prediction field. Bentham Science Publishers 2018 Indexed Article NonPeerReviewed Swee Kuan Loh and Swee Thing Low and Lian En Chai and Weng Howe Chan and Mohd Saberi Mohamad and Safaai Deris and Zuwairie Ibrahim and Shahreen Kasim and Zuraini Ali Shah and Hamimah Mohd Jamil and Zalmiyah Zakaria and Suhaimi Napis (2018) A review of computational approaches to predict gene functions. Current Bioinformatics, 13 (4). 373 -386. ISSN 1574-8936 http://www.eurekaselect.com/156028/article |
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Recently, novel high-throughput biotechnologies have provided rich data about different genomes. However, manual annotation of gene function is time consuming. It is also very expensive and infeasible for the growing amounts of data. At present there are numerous functions in certain species that remain unknown or only partially known. Hence, the use of computational approaches to predicting gene function is becoming widespread. Computational approaches are time saving and less costly. Prediction analysis provided can be used in hypotheses to drive the biological validation of gene function.
Objective: This paper reviews computational approaches such as the support vector machine, clustering, hierarchical ensemble and network-based approaches.
Methods: Comparisons between these approaches are also made in the discussion portion.
Results: In addition, the advantages and disadvantages of these computational approaches are discussed.
Conclusion: With the emergence of omics data, the focus should be continued on integrating newly added data for gene functions prediction field. |
format |
Indexed Article |
author |
Swee Kuan Loh Swee Thing Low Lian En Chai Weng Howe Chan Mohd Saberi Mohamad Safaai Deris Zuwairie Ibrahim Shahreen Kasim Zuraini Ali Shah Hamimah Mohd Jamil Zalmiyah Zakaria Suhaimi Napis |
spellingShingle |
Swee Kuan Loh Swee Thing Low Lian En Chai Weng Howe Chan Mohd Saberi Mohamad Safaai Deris Zuwairie Ibrahim Shahreen Kasim Zuraini Ali Shah Hamimah Mohd Jamil Zalmiyah Zakaria Suhaimi Napis A review of computational approaches to predict gene functions |
author_facet |
Swee Kuan Loh Swee Thing Low Lian En Chai Weng Howe Chan Mohd Saberi Mohamad Safaai Deris Zuwairie Ibrahim Shahreen Kasim Zuraini Ali Shah Hamimah Mohd Jamil Zalmiyah Zakaria Suhaimi Napis |
author_sort |
Swee Kuan Loh |
title |
A review of computational approaches to predict gene functions |
title_short |
A review of computational approaches to predict gene functions |
title_full |
A review of computational approaches to predict gene functions |
title_fullStr |
A review of computational approaches to predict gene functions |
title_full_unstemmed |
A review of computational approaches to predict gene functions |
title_sort |
review of computational approaches to predict gene functions |
publisher |
Bentham Science Publishers |
publishDate |
2018 |
url |
http://discol.umk.edu.my/id/eprint/7406/ http://www.eurekaselect.com/156028/article |
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1763303836978511872 |
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13.188404 |