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العنوان
Enhancement of Micro-Ribo-Nucleic-Acid (MIRNA) Target Prediction Method Based on Generalized Eigenspace Technique /
المؤلف
Eldele, Emad Eldeen Ahmed Ibrahim.
هيئة الاعداد
باحث / عماد الدين احمد ابراهيم الضلع
مشرف / محمد طلعت فهيم
مشرف / شرين مصطفى الجوخى
مشرف / لايوجد
الموضوع
Computers Engineering. Automatic Control Engineering.
تاريخ النشر
2018.
عدد الصفحات
120 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
هندسة النظم والتحكم
تاريخ الإجازة
10/7/2018
مكان الإجازة
جامعة طنطا - كلية الهندسه - هندسة الحاسباتوالتحكم الالى
الفهرس
Only 14 pages are availabe for public view

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from 141

Abstract

This thesis proposes a new computational framework for predicting the targets of microRiboNucleic Acid (miRNA). These microRNAs (miRNAs) are small non-coding RNA molecules (with almost 22 nucleotides length) that play a significant role in post-transcriptional gene regulation process. They usually bind with messenger RNAs (mRNAs) in specific locations which affects the regulation of gene expression
causing dangerous diseases such as heart diseases and cancer in some cases. Due to these negative effects, it becomes substantial to identify the targets of miRNAs which demonstrates our aim
of building an enhanced framework for predicting miRNA targets.The proposed framework intends to overcome the limitations of previous methodologies mentioned in the literature. These methodologies have been implemented either experimentally or using computational tools. The experimental techniques are very expensive and slow while most of the computational tools suffer from shortages in predicting miRNA targets with a suitable sensitivity-specificity tradeoff. Our proposed framework consists of several stages. The first stage iv.