Computational analysis of HIV drug resistance data
Material type:
TextPublication details: Aachen Shaker Verlag 2004Description: viii, 180pISBN: - 3-8322-2639-7
- WC 503 .B44 2004
| Item type | Current library | Call number | Status | Date due | Barcode | |
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AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY | WC 503 .B44 2004 (Browse shelf(Opens below)) | Available | 09519 |
Examines computational ways for the analysis of integrated viral sequence data, phenotopic resistance data and clinical data from HIV-infected patients. A mixture model of trees to describe probabilistically the evolution of drug resistance is introduced and a useful learning algorithm presented. A scoring function for drug combinations that includes estimating the genetic barrier of the combination therapy relative to the viral strain is developed to support therapy optimisation.
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