Integrating GO and KEGG terms to characterize and predict acute myeloid leukemia-related genes.

Journal: Hematology (Amsterdam, Netherlands)
Published Date: Oct 24, 2014

Abstract

BACKGROUND/OBJECTIVE: Acute myeloid leukemia (AML) is a progressive and malignant cancer of myelogenous blood cells, which disturbs the production of normal blood cells. Although several risk and genetic factors (AML-related genes) have been investigated, the concrete mechanism underlying the development of AML remains unclear. In view of this, it is crucial to develop an effective computational method for meaningfully characterizing AML genes and accurately predicting novel AML genes.

Authors

  • Jing Chen
    Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Chao Li
    McGill University Health Centre, McGill Adult Unit for Congenital Heart Disease Excellence, Montreal, Québec, Canada.
  • Yingchao Zhu
  • Ling Sun
  • Hui Sun
    Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
  • Yanfang Liu
    School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China. Electronic address: yfliu610@sina.com.
  • Zhenxiang Zhang
  • Chong Wang
    Shandong Xinhua Pharmaceutical Co., Ltd., No. 1, Lu Tai Road, High Tech Zone, Zibo 255199, China.

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