Identifying the combination of genetic factors that determine susceptibility to cervical cancer.

Horng, Jorng-Tzong; Hu, K C; Wu, Li-Cheng; Huang, Hsien-Da; Lin, Feng-Mao; Huang, S L; Lai, H C; Chu, T Y

Horng, Jorng-Tzong; Hu, K C; Wu, Li-Cheng; Huang, Hsien-Da; Lin, Feng-Mao; Huang, S L; Lai, H C; Chu, T Y.

Affiliation

Horng JT; Department of Life Science, National Central University, Jhongli City 320, Taiwan, ROC. horng@db.csie.ncu.edu.tw

IEEE Trans Inf Technol Biomed ; 8(1): 59-66, 2004 Mar.

Article in En | MEDLINE | ID: mdl-15055802

Subject(s)

Algorithms; Diagnosis, Computer-Assisted/methods; Gene Expression Profiling/methods; Genetic Predisposition to Disease/genetics; Genetic Testing/methods; Risk Assessment/methods; Uterine Cervical Neoplasms/diagnosis; Uterine Cervical Neoplasms/genetics; Bayes Theorem; Case-Control Studies; Female; Humans; Internet; Microsatellite Repeats/genetics; Phylogeny; Polymorphism, Single Nucleotide/genetics; Reproducibility of Results; Retrospective Studies; Sensitivity and Specificity; Uterine Cervical Neoplasms/classification

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Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Algorithms / Uterine Cervical Neoplasms / Genetic Testing / Diagnosis, Computer-Assisted / Risk Assessment / Genetic Predisposition to Disease / Gene Expression Profiling Type of study: Diagnostic_studies / Etiology_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: IEEE Trans Inf Technol Biomed Year: 2004 Document type: Article

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