Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2009-3-11
pubmed:abstractText
Expert-based genotypic interpretation systems are standard methods for guiding treatment selection for patients infected with human immunodeficiency virus type 1. We previously introduced the software pipeline geno2pheno-THEO (g2p-THEO), which on the basis of viral sequence predicts the response to treatment with a combination of antiretroviral compounds by applying methods from statistical learning and the estimated potential of the virus to escape from drug pressure.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0022-1899
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
199
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
999-1006
pubmed:dateRevised
2009-6-8
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Predicting the response to combination antiretroviral therapy: retrospective validation of geno2pheno-THEO on a large clinical database.
pubmed:affiliation
Max Planck Institute for Informatics, Saarbrücken, University of Cologne, Cologne, Germany. altmann@mpi-inf.mpg.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Validation Studies