Genetic mining of DNA sequence structures for effective classification of the risk types of Human Papillomavirus (HPV)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3316, Issue , 2004, Pages 1334-1343

  Eom, Jae Hong ^a   Park, Seong Bae ^b   Zhang, Byoung Tak ^a  

^a Seoul National University   (South Korea)

^b Kyungpook National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; DISEASES; DNA SEQUENCES; GENETIC ALGORITHMS; LEARNING SYSTEMS; MINING; ONCOGENIC VIRUSES;

CERVICAL CANCERS; CLASSIFICATION ACCURACY; HUMAN PAPILLOMAVIRUS; INTELLIGENT DATA; MACHINE LEARNING APPROACHES; MINING METHODS; SEQUENCE STRUCTURE; SEXUALLY TRANSMITTED DISEASE;

CLASSIFICATION (OF INFORMATION);

EID: 35048842835     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_208     Document Type: Article

References (13)

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