title: A Review of Computational Methods for Finding Non-Coding RNA Genes.
abstract: Finding non-coding RNA (ncRNA) genes has emerged over the past few years as a cutting-edge trend in bioinformatics. There are numerous computational intelligence (CI) challenges in the annotation and interpretation of ncRNAs because it requires a domain-related expert knowledge in CI techniques. Moreover, there are many classes predicted yet not experimentally verified by researchers. Recently, researchers have applied many CI methods to predict the classes of ncRNAs. However, the diverse CI approaches lack a definitive classification framework to take advantage of past studies. A few review papers have attempted to summarize CI approaches, but focused on the particular methodological viewpoints. Accordingly, in this article, we summarize in greater detail than previously available, the CI techniques for finding ncRNAs genes. We differentiate from the existing bodies of research and discuss concisely the technical merits of various techniques. Lastly, we review the limitations of ncRNA gene-finding CI methods with a point-of-view towards the development of new computational tools.
authors.affiliation: College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia. qaabbas@imamu.edu.sa.
authors.forename: Qaisar
authors.initials: Q
authors.lastname: Abbas
authors.affiliation: College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia. smraza@imamu.edu.sa.
authors.forename: Syed Mansoor
authors.initials: SM
authors.lastname: Raza
authors.affiliation: College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia. aabiyabani@imamu.edu.sa.
authors.forename: Azizuddin Ahmed
authors.initials: AA
authors.lastname: Biyabani
authors.affiliation: College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia. arfan.jaffar@ccis.imamu.edu.sa.
authors.forename: Muhammad Arfan
authors.initials: MA
authors.lastname: Jaffar
keywords: Bayesian networks; DNA; computational intelligence; deep learning; gene; genetic algorithm; micro RNA; neural network; non-coding RNA; support vector machine