نتایج جستجو برای: gene network

تعداد نتایج: 1768995  

Journal: :The International journal of developmental biology 2003
Roger Revilla-i-Domingo Eric H Davidson

The developmental process is controlled by the information processing functions executed by the cis-elements that regulate the expression of the participating genes. A model of the network of cis-regulatory interactions that underlies the specification of the endomesoderm of the sea urchin embryo is analyzed here. Although not all the relevant interactions have yet been uncovered, the model sho...

Journal: :Annual review of biophysics and biomolecular structure 2007
Smadar Ben-Tabou de-Leon Eric H Davidson

Controlling the differential expression of many thousands of genes is the most fundamental task of a developing organism. It requires an enormous computational device that has the capacity to process in parallel a vast number of regulatory inputs in the various cells of the embryo and come out with regulatory outputs that are tissue specific. The regulatory genome constitutes this computational...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی اصفهان - دانشکده برق و کامپیوتر 1388

امروزه استفاده از اطلاعات ژنتیکی افراد در تشخیص و رده بندی انواع بیماری ها از جمله سرطان ها، مورد توجه قرار گرفته است. یکی از بهترین و دقیق ترین روش ها در این زمینه، بررسی مقادیر بیان ژنی در افراد مختلف توسط فناوری ریزآرایه می باشد. یکی از مشکلات داده های ریزآرایه کم بودن تعداد نمونه ها در مقایسه با تعداد ژن ها است. این مسیله سبب کاهش دقت رده بندی و افزایش هزینه های محاسباتی و آزمایشگاهی می شود...

Journal: :journal of paramedical sciences 0
mahdieh khalili department of biostatistics, faculty of paramedical sciences, shahidbeheshti university of medical sciences, tehran, iran hamid alavi majd department of biostatistics, faculty of paramedical sciences, shahidbeheshti university of medical sciences, tehran, iran soheila khodakarim department of biostatistics, faculty of paramedical sciences, shahidbeheshti university of medical sciences, tehran, iran batool ahadi mohsen hamidpour department of hematology, faculty of paramedical sciences, shahidbeheshti university of medical sciences, tehran, iran

the aim of this study was to propose a method for improving the power of recognition and classification of thromboembolic syndrome based on the analysis of ‎ gene expression data using artificial neural networks. the studied method was performed on a dataset which contained data about 117 patients admitted to a hospital in durham in 2009. of all the studied patients, 66 patients were suffering ...

F. Peyvandi I. Garagiola M. Karimi M.B. Sharif Kazemi M.H. Safaei S. Lavoretano

Background: Stimulation of collateral artery growth (arteriogenesis) and/or capillary network growth (angiogenesis) would be beneficial to the patients with myocardial infarction. To understand the central role of vascular endothelial growth factor (VEGF) in biological angiogenesis, we performed molecular analysis of the VEGF gene in patients afflicted with acute myocardial infarction (AMI). Me...

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