Cluster analysis of comparative genomic hybridization (CGH) data using self-organizing maps: Application to prostate carcinomas

Analytical Cellular Pathology

Volumn 23, Issue 1, 2001, Pages 29-37

  Mattfeldt, Torsten ^a   Wolter, Hubertus ^a   Kemmerling, Ralf ^a   Gottfried, Hans Werner ^a   Kestler, Hans A ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

Artificial neural networks; Chromosome aberrations; Cluster analysis; Comparative genomic hybridization; Multivariate analysis; Prognostic factors; Prostatic cancer; Self organizing maps; Tumor suppressor genes

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHROMOSOME 13Q; CHROMOSOME 6Q; CHROMOSOME 8P; CHROMOSOME LOSS; CLUSTER ANALYSIS; COMPARATIVE GENOMIC HYBRIDIZATION; COMPUTER PROGRAM; CONTROLLED STUDY; DATA ANALYSIS; FOLLOW UP; HUMAN; HUMAN TISSUE; INFORMATION PROCESSING; MALE; PRIORITY JOURNAL; PROGNOSIS; PROSTATE ADENOCARCINOMA;

EID: 0035663028     PISSN: 09218912     EISSN: None     Source Type: Journal    
DOI: 10.1155/2001/852674     Document Type: Article

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