Improved Classification of Lung Cancer Tumors Based on Structural and Physicochemical Properties of Proteins Using Data Mining Models

PLoS ONE

Volumn 8, Issue 3, 2013, Pages

  Ramani, R Geetha ^a   Jacob, Shomona Gracia ^b  

^a ANNA UNIVERSITY   (India)

^b ANNA UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BAYESIAN LEARNING; CANCER CLASSIFICATION; CLASSIFICATION ALGORITHM; CLINICAL FEATURE; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA MINING; HYDROPHOBICITY; LUNG CANCER; LUNG NON SMALL CELL CANCER; LUNG SMALL CELL CANCER; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MICROARRAY ANALYSIS; ONCOGENE; PHYSICAL CHEMISTRY; POLARIZATION; PREDICTION; PROTEIN STRUCTURE; SEQUENCE ANALYSIS; STRATEGIC PLANNING; VALIDATION PROCESS;

ALGORITHMS; BAYES THEOREM; CARCINOMA, NON-SMALL-CELL LUNG; CLUSTER ANALYSIS; DATA MINING; DATABASES, GENETIC; HUMANS; LUNG NEOPLASMS; MEDICAL INFORMATICS; PROTEINS; REPRODUCIBILITY OF RESULTS;

EID: 84874691692     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0058772     Document Type: Article

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