IDM-PhyChm-Ens: Intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids

Amino Acids

Volumn 46, Issue 4, 2014, Pages 977-993

  Ali, Safdar ^a   Majid, Abdul ^a   Khan, Asifullah ^a  

^a PAKISTAN INSTITUTE OF ENGINEERING AND APPLIED SCIENCES   (Pakistan)

Author keywords

Amino acid; Breast cancer; Cancer classification; Ensemble classifier; Hydrophobicity and hydrophilicity; Physicochemical properties; Protein primary sequences; Random forest

Indexed keywords

AMINO ACID; PROTEIN;

ALGORITHM; AMINO ACID SEQUENCE; BIOLOGY; BREAST TUMOR; CHEMISTRY; CLASSIFICATION; EVALUATION STUDY; FEMALE; HUMAN; METABOLISM; PROCEDURES; SUPPORT VECTOR MACHINE;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; FEMALE; HUMANS; PROTEINS; SUPPORT VECTOR MACHINES;

EID: 84898907371     PISSN: 09394451     EISSN: 14382199     Source Type: Journal    
DOI: 10.1007/s00726-013-1659-x     Document Type: Article

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