Hierarchical-TGDR: Combining biological hierarchy with a regularization method for multi-class classification of lung cancer samples via high-throughput gene-expression data

Systems Biomedicine

Volumn 1, Issue 4, 2014, Pages 278-287

  Tian, Suyan ^a,b   Suárez Fariñas, Mayte ^b  

^a THE FIRST HOSPITAL OF JILIN UNIVERSITY   (China)

^b ROCKEFELLER UNIVERSITY   (United States)

Author keywords

Adenocarcinoma; Hierarchical structure; Lung cancer; Multiclass classification; Squamous cell carcinoma; Threshold gradient descent regularization

Indexed keywords

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; CANCER CLASSIFICATION; CANCER STAGING; CELL DIFFERENTIATION; CELL INVASION; GENE EXPRESSION; GENETIC ANALYSIS; HUMAN; LUNG ADENOCARCINOMA; MICROARRAY ANALYSIS; NON SMALL CELL LUNG CANCER; SQUAMOUS CELL LUNG CARCINOMA; THRESHOLD GRADIENT DESCENT REGULARIZATION; TRANSCRIPTOMICS;

EID: 85043224860     PISSN: 21628130     EISSN: 21628149     Source Type: Journal    
DOI: 10.4161/sysb.25979     Document Type: Article

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