Exploration of Leukemia Gene Regulatory Networks Using A Systems Biology Approach

被引：0
|
作者：
Tong, Dong Ling [1 ]
Ball, Graham R. [1 ]
机构：
[1] Nottingham Trent Univ, Sch Sci & Technol, John van Geest Canc Res Ctr, Nottingham, England
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) | 2014年
关键词：
acute leukemia; systems biology; artificial neural network inference algorithm; Cytoscape; STRING; ACUTE MYELOGENOUS LEUKEMIA; CATHEPSIN-G; EXPRESSION; CLASSIFICATION; PREDICTION; METABOLISM; DISCOVERY; TARGETS; CANCER;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Despite extensive studies in cytogenetic and mutations in leukemia cancer, new diagnoses were detected each year. This is due to multifactorial characteristic of hematopoietic disease and a lack of systematic-level information on genetic interaction and pathways between markers to understand the development and progression of leukemia. Thus, this study aims to sought a systems biology approach to infer gene regulatory networks of leukemia-related markers. Results demonstrated the effectiveness of a systems biology approach to simplify complex genetic interactions without losing important biological information of the genes. Key markers that inter-connected other eukemia-associated markers were identified.
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页数：6
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