DSpace
 

EMU I-REP >
02 Faculty of Engineering >
Department of Computer Engineering >
Theses (Master's and Ph.D) – Computer Engineering >

Please use this identifier to cite or link to this item: http://hdl.handle.net/11129/341

Title: The Role of Neurotransmitter Receptors in Mental and Behavioral Disorders: a Biomedical Text Mining Approach
Authors: Musa, Aliyu Kabir
Keywords: Computer Engineering
Life Sciences - Data Processing
Text Processing (Computer Science)
Data Mining
Biomedical Text Mining - Machine Learning - Neurotransmitter Receptors - Mental Disorders - Behavioral Disorders - Gene-Disease Association - Support Vector Machines
Issue Date: 2012
Publisher: Eastern Mediterranean University (EMU)
Citation: Musa, Aliyu Kabir. (2012). The Role of Neurotransmitter Receptors in Mental and Behavioral Disorders: a Biomedical Text Mining Approach. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Computer Engineering, Famagusta: North Cyprus.
Abstract: ABSTRACT: Genetic variation in neurotransmitter receptors have been shown to be implicated both in behavioral variations across individuals in a given population and in various behavioral disorders. There are two aspects of synaptic neurotransmission in terms of its implications in behavioral disorders, both of which are important in healthcare management for such conditions. Firstly, particular allelic variations lead to an increased susceptibility to certain behavioral disorders. Secondly, specific allelic variations determine the response of affected individuals to available drug treatment options. Studies linking genetic variation and behavioral disorders are in general done on a single gene level and are focused on a single or a few disorders at a time. In this study, we aim to approach the relationship of neurotransmitter receptors to behavioral disorders from a different, more global perspective. We employ state-of-the-art text mining methods to put together a comprehensive database linking neurotransmitter receptors with specific mental and behavioral disorders. This study is unique in the sense that it provides this specific subset of gene-disease data. In addition, this tool is publicly accessible and enables researchers and healthcare professionals in the field to have easy access to a large amount of neurotransmission and disease data. This would facilitate analysis of the molecular bases of these conditions within a larger scope. Keywords: biomedical text mining, machine learning, neurotransmitter receptors, mental disorders, behavioral disorders, gene-disease association, support vector machines. …………………………………………………………………………………………………………………………………………………………………………………………………………………… ÖZ: Nörotransmiter reseptörlerindeki genetik varyasyonların kişilerin davranışlarına olan etkileri ve çeşitli davranışsal bozukluklarla bağlantıları gösterilmiştir. Sinaptik nörotransmisyonun davranışsal bozukluklara olan etkisi ve bu bozuklukların tedavisine yönelik önemi iki açıdan vurgulanabilir. Birincisi, çeşitli allelerdeki varyasyonlar, bazı davranışsal bozukluklar için risk faktörü oluşturabilir. İkincisi ise allelerdeki özgül varyasyonlar kişinin ilaç tedavisine nasıl yanıt vereceği konusunda belirleyicidir. Bu çalışmalar genelde tek bir gen düzeyinde olup, tek veya birkaç hastalığa odaklı olarak rapor edilmektedir. Bu çalışmada, nörotransmitter reseptörleri ve onların davranışsal bozukluklarla olan bağlantılarına farklı ve daha global bir açıdan yaklaştık. En güncel metin madenciliği yöntemlerini kullanarak, geniş kapsamlı bir veritabanı oluşturduk. Bu veritabanı reseptörleri, zihinsel ve davranışsal bozukluklarla birleştirmektedir. Kamuya açık olan bir veritabanı, araştırmacıların yüksek miktardaki nörotransmiter ve hastalık verisine kolayca ulaşıp, geniş kapsamlı analizler yapmalarını sağlamaktadır. Anahtar kelimeler: biomedikal metin madenciliği, makineye dayalı öğrenme, vector destek makinaleri, nörotransmiter reseptör, zihinsel davranış bozuklukları.
Description: Master of Science in Computer Engineering. Thesis (M.S.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Computer Engineering, 2012. Supervisor: Assoc. Prof. Dr. Ekrem Varoğlu.
URI: http://hdl.handle.net/11129/341
Appears in Collections:Theses (Master's and Ph.D) – Computer Engineering

Files in This Item:

File Description SizeFormat
Musa.pdf1.76 MBAdobe PDFView/Open


This item is protected by original copyright

Recommend this item
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback