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Volumn 48, Issue 3, 2001, Pages 332-339
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A computational neural approach to support the discovery of gene function and classes of cancer
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Author keywords
Bioinformatics; Cancer classification; Data mining; Gene expression analysis; Neural networks
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Indexed keywords
GENOME EXPRESSION;
MICROARRAY DATA;
DNA;
FUZZY CONTROL;
GENES;
TUMORS;
BIOMEDICAL ENGINEERING;
COMPLEMENTARY DNA;
ARTICLE;
B CELL LYMPHOMA;
CANCER CLASSIFICATION;
DNA MICROARRAY;
GENE EXPRESSION;
GENE FUNCTION;
HUMAN;
NERVE CELL NETWORK;
ALGORITHMS;
DIAGNOSIS, COMPUTER-ASSISTED;
DNA, COMPLEMENTARY;
DNA, NEOPLASM;
FUZZY LOGIC;
GENE EXPRESSION REGULATION, NEOPLASTIC;
HUMANS;
INFORMATION STORAGE AND RETRIEVAL;
LYMPHOMA, LARGE-CELL, DIFFUSE;
NEOPLASMS;
NEURAL NETWORKS (COMPUTER);
PREDICTIVE VALUE OF TESTS;
REFERENCE VALUES;
SENSITIVITY AND SPECIFICITY;
USER-COMPUTER INTERFACE;
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EID: 0035096538
PISSN: 00189294
EISSN: None
Source Type: Journal
DOI: 10.1109/10.914796 Document Type: Article |
Times cited : (51)
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References (19)
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