University of Texas at El Paso DigitalCommons@UTEP Open Access Theses & Dissertations 2017-01-01 Computational methods for prediction and classification of G protein-coupled receptors Khodeza Begum University of Texas at El Paso,
[email protected] Follow this and additional works at: https://digitalcommons.utep.edu/open_etd Part of the Bioinformatics Commons, Computer Sciences Commons, and the Mathematics Commons Recommended Citation Begum, Khodeza, "Computational methods for prediction and classification of G protein-coupled receptors" (2017). Open Access Theses & Dissertations. 408. https://digitalcommons.utep.edu/open_etd/408 This is brought to you for free and open access by DigitalCommons@UTEP. It has been accepted for inclusion in Open Access Theses & Dissertations by an authorized administrator of DigitalCommons@UTEP. For more information, please contact
[email protected]. COMPUTATIONAL METHODS FOR PREDICTION AND CLASSIFICATION OF G PROTEIN-COUPLED RECEPTORS KHODEZA BEGUM Master’s Program in Computational Science APPROVED: Ming-Ying Leung, Ph.D., Chair Rachid Skouta, Ph.D. Xiaogang Su, Ph.D. Charlotte M. Vines, Ph.D. Charles Ambler, Ph.D. Dean of the Graduate School Copyright © by Khodeza Begum 2017 COMPUTATIONAL METHODS FOR PREDICTION AND CLASSIFICATION OF G PROTEIN-COUPLED RECEPTORS by KHODEZA BEGUM, B.S. THESIS Presented to the Faculty of the Graduate School of The University of Texas at El Paso in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE COMPUTATIONAL SCIENCE PROGRAM THE UNIVERSITY OF TEXAS AT EL PASO December 2017 Acknowledgements I would first like to thank my advisor Dr. Ming-Ying Leung for the continuous support and encouragement in my study and thesis.