Selection of causal gene sets for lymphoma prognostication from expression profiling and construction of prognostic fuzzy neural network models

Journal of Bioscience and Bioengineering

Volumn 96, Issue 2, 2003, Pages 161-167

  Ando, Tatsuya ^a   Suguro, Miyuki ^b   Kobayashi, Takeshi ^a   Seto, Masao ^b   Honda, Hiroyuki ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b AICHI CANCER CENTER HOSPITAL   (Japan)

Author keywords

Expression profile; Fuzzy neural network; Lymphoma; Modeling; Prognostification

Indexed keywords

DNA; NEURAL NETWORKS; PATIENT TREATMENT;

GENE SETS;

GENES;

ARTICLE; CANCER CHEMOTHERAPY; CANCER RISK; CANCER SURVIVAL; DIAGNOSTIC ACCURACY; DNA MICROARRAY; FUNCTIONAL ASSESSMENT; GENE CONSTRUCT; GENE EXPRESSION PROFILING; GENE SEGREGATION; GENE SEQUENCE; GENETIC MODEL; KAPLAN MEIER METHOD; LARGE CELL LYMPHOMA; LYMPHOMA; NUCLEOTIDE SEQUENCE; PATIENT CODING; PREDICTION; PROGNOSIS; TREATMENT OUTCOME;

EID: 0041876042     PISSN: 13891723     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1389-1723(03)90119-8     Document Type: Article

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