Fuzzy neural network applied to gene expression profiling for predicting the prognosis of diffuse large B-cell Lymphoma

Japanese Journal of Cancer Research

Volumn 93, Issue 11, 2002, Pages 1207-1212

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

^a NAGOYA UNIVERSITY   (Japan)

^b AICHI CANCER CENTER HOSPITAL   (Japan)

^c KYUSHU UNIVERSITY   (Japan)

Author keywords

Diffuse large B cell lymphoma; Fuzzy neural network; Gene expression profiling; Microarray; Prognosis

Indexed keywords

ANTINEOPLASTIC AGENT; BIOLOGICAL MARKER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; B CELL LYMPHOMA; CANCER CLASSIFICATION; CANCER SURVIVAL; CLINICAL ARTICLE; CONTROLLED STUDY; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; GENETIC HETEROGENEITY; HUMAN; KAPLAN MEIER METHOD; LARGE CELL LYMPHOMA; NUCLEOTIDE SEQUENCE; OUTCOMES RESEARCH; PREDICTION AND FORECASTING; PRIORITY JOURNAL; PROGNOSIS;

EID: 0036868316     PISSN: 09105050     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1349-7006.2002.tb01225.x     Document Type: Article

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