Artificial neural network classification based on capillary electrophoresis of urinary nucleosides for the clinical diagnosis of tumors

Journal of Chromatography A

Volumn 828, Issue 1-2, 1998, Pages 489-496

  Zhao, Ruihuan ^a   Xu, Guowang ^a   Yue, Bingfang ^a   Liebich, H M ^b   Zhang, Yukui ^a  

^a DALIAN INSTITUTE OF CHEMICAL PHYSICS   (China)

^b UNIVERSITY HOSPITAL TÜBINGEN   (Germany)

Author keywords

Canonical discriminant analysis; Chemometrics; Neural networks, artificial; Nucleosides; Principal component analysis

Indexed keywords

NUCLEOSIDE; TUMOR MARKER;

ARTIFICIAL NEURAL NETWORK; BREAST CANCER; BRONCHUS CANCER; CANCER; CAPILLARY ELECTROPHORESIS; CHEMOMETRIC ANALYSIS; CONFERENCE PAPER; CONTROLLED STUDY; ESOPHAGUS CANCER; FEMALE; GLIOBLASTOMA; HUMAN; MALE; PRIORITY JOURNAL; PROSTATE CARCINOMA; URINALYSIS;

DISCRIMINANT ANALYSIS; ELECTROPHORESIS, CAPILLARY; HUMANS; NEOPLASMS; NEURAL NETWORKS (COMPUTER); NUCLEOSIDES; TUMOR MARKERS, BIOLOGICAL;

EID: 0032545242     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0021-9673(98)00589-5     Document Type: Conference Paper

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