A Novel Method for Prediction of Protein Domain Using Distance-Based Maximal Entropy

Journal of Bionic Engineering

Volumn 5, Issue 3, 2008, Pages 215-223

  Zou, Shu xue ^a   Huang, Yan xin ^a   Wang, Yan ^a   Zhou, Chun guang ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

distance based maximal entropy; imbalanced data learning; protein domain boundary; SVM

Indexed keywords

ARTIFICIAL INTELLIGENCE; DEMODULATION; FERROMAGNETISM; FORECASTING; IMAGE RETRIEVAL; MAGNETIC DOMAINS; SEARCH ENGINES; SUPPORT VECTOR MACHINES; THREE DIMENSIONAL; VECTORS;

3-D STRUCTURES; CHALLENGING TASK; DATABASE SEARCHES; DISTANCE-BASED; DISTANCE-BASED MAXIMAL ENTROPY; DOMAIN STRUCTURES; FEATURE SPACES; IMBALANCED DATA; IMBALANCED DATA LEARNING; IMBALANCED DATASETS; INFORMATION CONTENTS; LEARNING PROBLEMS; MACHINE-LEARNING; MAXIMAL ENTROPY; MULTIPLE SEQUENCE ALIGNMENTS; NOVEL METHODS; PROTEIN DOMAIN BOUNDARY; PROTEIN DOMAINS; SIMULATION RESULTS; STRUCTURAL BIOLOGY; SUPPORT-VECTOR MACHINE; SVM; UNDER-SAMPLING;

LEARNING SYSTEMS;

EID: 53049108646     PISSN: 16726529     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1672-6529(08)60027-X     Document Type: Article

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