Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A multilevel analysis of hiv1-miR-H1 miRNA using KPCA, K-means, Random Forest and online target tools Subject The topic of the resource HIV 1; K-means; KPCA; MiRNA; Random Forest Description An account of the resource The goal of this study was to propose a workflow using machine learning to identify and predict the miRNA targets of Human Immunodeficiency virus 1. miRNAs which is ~21 nt long are attained from larger hairpin RNA precursors and is maintained in the secondary structure of their precursor relatively than in primary chain of successions. The proposition approach for identification and prediction of miRNA targets in hiv1-miR-H1is based on secondary structure and E-value through machine learning. Data Linearity of Length and e-value for sequence match with hiv1-mir-H1 is verified using Kernel PCA. miRNA targets were grouped into clusters thereby indicating similar targets using K-means algorithm. Classification model using Random Forest was implemented regards to each secondary features variable considering feature relevance. A learning methodology is put forward that assimilate and integrate the score returned by various machine learning algorithms to predict cellular hiv1-miR-H1 targets. Gene targets results using TargetScan, miRanda, PITA, DIANA microT and RNAhybrid are also explored for multiple parameters. 2021 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Biju V.G.; Mathew B.B.; Prashanth C.M. Source A related resource from which the described resource is derived International Journal of Bioinformatics Research and Applications, Vol-17, No. 2, pp. 111-134. Publisher An entity responsible for making the resource available Inderscience Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJBRA.2021.114416" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJBRA.2021.114416</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104835020&amp;doi=10.1504%2FIJBRA.2021.114416&amp;partnerID=40&amp;md5=1dd4b561403279b5a51f7ee7c5412c0f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104835020&amp;doi=10.1504%2fIJBRA.2021.114416&amp;partnerID=40&amp;md5=1dd4b561403279b5a51f7ee7c5412c0f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17445485 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biju V.G., Department of Computer Science and Engineering, CHRIST, Faculty of Engineering, Kanmanike, Kumbalgodu, Bengaluru, 560074, Karnataka, India; Mathew B.B., Department of Biotechnology, Sapthagiri College of Engineering, Bengaluru, 560057, Karnataka, India; Prashanth C.M., Department of Computer Science and Engineering, Acharya Institute of Technology, Soldevanahalli, Bengaluru, 560107, Karnataka, India