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Volumn 16, Issue 6, 2001, Pages 35-41

Geno2pheno: Interpreting Genotypic HIV Drug Resistance Tests

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL RESISTANCE; DNA SEQUENCES; DRUG THERAPY; ENZYME KINETICS; KNOWLEDGE BASED SYSTEMS; MUTAGENESIS; PHARMACOKINETICS; TABLE LOOKUP; VIRUSES;

EID: 0035521550     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/5254.972080     Document Type: Article
Times cited : (48)

References (7)
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    • Managing Resistance to Anti-HIV Drugs:An Important Consideration for Effective Disease Management
    • Mar.
    • A.-M. Vandamme, K. Van Laethem, and E. De Clercq, “Managing Resistance to Anti-HIV Drugs:An Important Consideration for Effective Disease Management,” Drugs, vol. 57, no. 3, Mar. 1999, pp. 337-361.
    • (1999) Drugs , vol.57 , Issue.3 , pp. 337-361
    • Vandamme, A.-M.1    Van Laethem, K.2    De Clercq, E.3
  • 2
    • 0033033193 scopus 로고    scopus 로고
    • Rapid, Phenotypic HIV-1 Drug Sensitivity Assay for Protease and Reverse Tran scriptase Inhibitors
    • June
    • H. Walter et al., “Rapid, Phenotypic HIV-1 Drug Sensitivity Assay for Protease and Reverse Tran scriptase Inhibitors,” J. Clinical Virology, vol. 13, nos. 1-2, June 1999, pp. 71-80.
    • (1999) J. Clinical Virology , vol.13 , Issue.1-2 , pp. 71-80
    • Walter, H.1
  • 3
    • 0001815653 scopus 로고    scopus 로고
    • The Application of Neural Networks in Predicting Phenotypic Resistance from Genotypes for HIV-1 Protease Inhibitors
    • supplement 3
    • D. Wang, S. Bloor, and B.A. Larder, “The Application of Neural Networks in Predicting Phenotypic Resistance from Genotypes for HIV-1 Protease Inhibitors,” Antiviral Therapy, vol. 5, supplement 3, 2000, pp. 51-52.
    • (2000) Antiviral Therapy , vol.5 , pp. 51-52
    • Wang, D.1    Bloor, S.2    Larder, B.A.3
  • 5
    • 27144489164 scopus 로고    scopus 로고
    • A Tutorial on Support Vector Machines for Pattern Recognition
    • June
    • C.J.C. Burges, “A Tutorial on Support Vector Machines for Pattern Recognition,” Data Mining and Knowledge Discovery, vol. 2, no. 2, June 1998, pp. 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 6
    • 0002714543 scopus 로고    scopus 로고
    • Making Large-Scale Support Vector Machine Learning Practical
    • B. Schölkopf, C. Burges, and A. Smola, eds., MIT Press, Cambridge, Mass.
    • T. Joachims, “Making Large-Scale Support Vector Machine Learning Practical,” Advances in Kernel Methods: Support Vector Learning, B. Schölkopf, C. Burges, and A. Smola, eds., MIT Press, Cambridge, Mass., 1999, pp. 169-184.
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 7
    • 0033492988 scopus 로고    scopus 로고
    • Decision Tree-Based Formation of Consensus Protein Secondary Structure Prediction
    • Dec.
    • J. Selbig, T. Mevissen, and T. Lengauer, “Decision Tree-Based Formation of Consensus Protein Secondary Structure Prediction,” Bioinformatics, vol. 15, no. 12, Dec. 1999, pp. 1039-1046.
    • (1999) Bioinformatics , vol.15 , Issue.12 , pp. 1039-1046
    • Selbig, J.1    Mevissen, T.2    Lengauer, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.