3625

3424

كارشناسي ارشد

مخابرات

اصفهان :دانشگاه صنعتي اصفهان ،دانشكده برق و كامپيوتر

1386

نه ،84،[II]ص.:مصور ،جدول ،نمودار

ص.ع.به فارسي و انگليسي

محمد حسين سرائي

رسول امير فتاحي

8/5/86

مهندسي برق و كامپيوتر

ID3424

به فارسي و انگليسي :قابل رويت به صورت نسخه ديجيتال

Abstract Wide range of the genetic sequences of homo sapiens has led to the formation of thenew field of bioinformatics which is the integration of molecular biology computerscience and mathematics New developments in bioinformatics aim to detect geneticpatterns of complex diseases which were previously believed incurable A major part ofthese developments is owed to gene mapping which deals with determining diseasesusceptible regions Most of the existing work is statistical and based on assumptions However since the genetic information is stored in a digital manner gene mapping hasclose relationship with information theory and this relation is the base for more recentmethodologies One of the disadvantages of current approaches is their futility againstepistasy phenomenon amongst genes In this work algorithms are proposed that are effective in handling this phenomenon These algorithms which also include relevance chains algorithms are compared to theexisting ones Furthermore a new criterion or principle is proposed for associationmapping which is the generalized form of gene mapping and is discussed from differentaspects Results from the relevance chains algorithms on real data show that AMD diseasehas many epistatic models amongst its markers whereas Parkinson s disease does notfollow such models

محمد حسين سرائي

رسول امير فتاحي