کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4496086 1623848 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Review on statistical methods for gene network reconstruction using expression data
ترجمه فارسی عنوان
بررسی روش های آماری برای بازسازی شبکه ژنی با استفاده از داده های بیان
کلمات کلیدی
شبکه های همگام سازی، شبکه های بیزی، شبکه های پویا، تشخیص جامعه، یکپارچه سازی داده های ژنومی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی


• We review statistical methods for reconstructing gene regulatory networks.
• We discuss statistical and computational challenges in modeling gene interactions.
• For each method we compare their modeling paradigms and data types required.

Network modeling has proven to be a fundamental tool in analyzing the inner workings of a cell. It has revolutionized our understanding of biological processes and made significant contributions to the discovery of disease biomarkers. Much effort has been devoted to reconstruct various types of biochemical networks using functional genomic datasets generated by high-throughput technologies. This paper discusses statistical methods used to reconstruct gene regulatory networks using gene expression data. In particular, we highlight progress made and challenges yet to be met in the problems involved in estimating gene interactions, inferring causality and modeling temporal changes of regulation behaviors. As rapid advances in technologies have made available diverse, large-scale genomic data, we also survey methods of incorporating all these additional data to achieve better, more accurate inference of gene networks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 362, 7 December 2014, Pages 53–61
نویسندگان
, ,