A Review of Computational Approaches to Predict Gene Functions

Title:A Review of Computational Approaches to Predict Gene Functions

Volume: 13 Issue: 4

Author(s): 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 and Suhaimi Napis*

Affiliation:

• Institute For Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, City Campus, Pengkalan Chepa, 16100 Kota Bharu, Kelantan,Malaysia

• Department of Cell and Molecular Biology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor,Malaysia

Keywords: Artificial intelligence, gene function, functional prediction, classifier, computational biology.

Abstract: Background: 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.

Cite this article as:

Kuan Loh Swee , Thing Low Swee , En Chai Lian , Howe Chan Weng, Saberi Mohamad Mohd *, Deris Safaai, Ibrahim Zuwairie , Kasim Shahreen , Ali Shah Zuraini, Mohd Jamil Hamimah , Zakaria Zalmiyah and Napis Suhaimi *, A Review of Computational Approaches to Predict Gene Functions, Current Bioinformatics 2018; 13 (4) . https://dx.doi.org/10.2174/1574893612666171002113742