کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2076852 1545003 2006 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of regulatory pathways using mRNA expression and protein interaction data: Application to identification of galactose regulatory pathway
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات مدل‌سازی و شبیه سازی
پیش نمایش صفحه اول مقاله
Prediction of regulatory pathways using mRNA expression and protein interaction data: Application to identification of galactose regulatory pathway
چکیده انگلیسی

We propose a novel technique that constructs gene regulatory networks from DNA microarray data and gene–protein databases and then applies Mason rule to systematically search for the most dominant regulators of the network. The algorithm then recommends the identified dominant regulator genes as the best candidates for future knock-out experiments. Actively choosing the genes for knock-out experiments allows optimal perturbation of the pathway and therefore produces the most informative DNA microarray data for pathway identification purposes. This approach is more practically advantageous in analysis of large pathways where the time and cost of DNA microarray data experiments can be reduced using the proposed optimal experiment design. The proposed method was successfully tested on the galactose regulatory network.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems - Volume 83, Issues 2–3, February–March 2006, Pages 125–135
نویسندگان
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