Survival trees for analyzing clinical outcome in lung adenocarcinomas based on gene expression profiles: Identification of neogenin and diacylglycerol kinase α expression as critical factors

Journal of Computational Biology

Volumn 12, Issue 5, 2005, Pages 534-544

  Berrar, Daniel ^a   Sturgeon, Brian ^a   Bradbury, Ian ^a   Downes, C Stephen ^a   Dubitzky, Werner ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Lung adenocarcinomas; Machine learning; Microarrays; Survival tree

Indexed keywords

DIACYLGLYCEROL KINASE; NEOGENIN;

ANAMNESIS; ARTICLE; CARCINOGENESIS; DISEASE COURSE; DNA MICROARRAY; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENETIC ANALYSIS; HUMAN; LUNG ADENOCARCINOMA; MAXIMUM LIKELIHOOD METHOD; PHYLOGENETIC TREE; PRIORITY JOURNAL; SURVIVAL RATE; SURVIVAL TREE;

ADENOCARCINOMA; DIACYLGLYCEROL KINASE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LUNG NEOPLASMS; MEMBRANE PROTEINS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SURVIVAL ANALYSIS; TREATMENT OUTCOME; TUMOR MARKERS, BIOLOGICAL;

EID: 21044447248     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2005.12.534     Document Type: Article

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