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Volumn 17, Issue , 2003, Pages 104-108
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Bayesian machine learning and its potential applications to the genomic study of oral oncology.
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Author keywords
[No Author keywords available]
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Indexed keywords
DNA;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BAYES THEOREM;
BIOLOGY;
BLOOD;
CLUSTER ANALYSIS;
DNA MICROARRAY;
FIBROBLAST;
GENE EXPRESSION PROFILING;
GENE EXPRESSION REGULATION;
GENETICS;
GENOMICS;
HEAD AND NECK TUMOR;
HUMAN;
MEDICAL INFORMATICS;
METHODOLOGY;
SQUAMOUS CELL CARCINOMA;
SYSTEM ANALYSIS;
BAYES THEOREM;
BLOOD;
CARCINOMA, SQUAMOUS CELL;
CLUSTER ANALYSIS;
COMPUTATIONAL BIOLOGY;
DNA, NEOPLASM;
FIBROBLASTS;
GENE EXPRESSION PROFILING;
GENE EXPRESSION REGULATION, NEOPLASTIC;
GENOMICS;
HEAD AND NECK NEOPLASMS;
HUMANS;
MEDICAL INFORMATICS APPLICATIONS;
NEURAL NETWORKS (COMPUTER);
OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;
SYSTEMS INTEGRATION;
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EID: 3242753580
PISSN: None
EISSN: 15440737
Source Type: Journal
DOI: 10.1177/154407370301700124 Document Type: Article |
Times cited : (15)
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References (0)
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