A feature ensemble technology to ide

A feature ensemble technology to identify molecular mechanisms for distinction between multiple subtypes of lymphoma

Due to complexities and genetic heterogeneities of biological phenotypes,robust computational approaches are desirable to achieve high generalization performance with multiple classifiers,perturbations of the data structures,and biological interpretations.The purpose of this study is to extend our developed ensemble decision approach to distinguish multiple heterogeneous phenotypes and to elucidate the underlying molecular bridges that intertwine the subtypes.Our work identifies the significant molecular mechanisms (disease-relevant genes and functions) that underpin the complex molecular mechanisms for distinction between multiple phenotypes.Feature genes and hierarchical gene cores identified by our method have achieved high accuracy in the classification of multiple pheno-types.The results show that the proposed analysis strategy is feasible and powerful in the classification of biological subtypes and in the explanation of the molecular connections between clinical phenotypes.Biological interpretations with Gene Ontology revealed concerted genetic pathways for some lymphoma subtypes.

作 者： Yueying Yang Haiyun Wang Xia Li Xue Xiao Su Fei Chuanxing Li Hongzhi Wang Shaoqi Rao Yadong Wang   作者单位： Yueying Yang,Su Fei,Chuanxing Li(College of Bioinformatics Science and Technology, Bio-pharmaceutical Key Laboratory of Heilongjiang Province and State, Harbin Medical University, Harbin 150081, China)

Haiyun Wang(College of Bioinformatics Science and Technology, Bio-pharmaceutical Key Laboratory of Heilongjiang Province and State, Harbin Medical University, Harbin 150081, China;College of Life Science and Technology, Tongji University, Shanghai 200092, China)

Xia Li(College of Bioinformatics Science and Technology, Bio-pharmaceutical Key Laboratory of Heilongjiang Province and State, Harbin Medical University, Harbin 150081, China;College of Life Science and Technology, Tongji University, Shanghai 200092, China;The Biomedical Engineering Institute, Capital Medical University, Beijing 100054, China)

Xue Xiao(The Biomedical Engineering Institute, Capital Medical University, Beijing 100054, China)

Hongzhi Wang,Yadong Wang(Department of Computer Science, Harbin Institute of Technology, Harbin 150080, China)

Shaoqi Rao(College of Bioinformatics Science and Technology, Bio-pharmaceutical Key Laboratory of Heilongjiang Province and State, Harbin Medical University, Harbin 150081, China;The Biomedical Engineering Institute, Capital Medical University, Beijing 100054, China;Department of Molecular Cardiology, Cleveland Clinic Foundation, Cleveland, OH 44195, USA) 

刊 名： 自然科学进展（英文版）  SCI 英文刊名： PROGRESS IN NATURAL SCIENCE  年，卷(期)： 2008 18(12)  分类号： N1  关键词： Ensemble decision approach   Molecular mechanisms   Lymphoma   Microarray