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.

引用

页数：6

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