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Predicting HIV coreceptor usage on the basis of genetic and clinical covariates

MPS-Authors
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Sing,  Tobias
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Beerenwinkel,  Niko
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45343

Sander,  Oliver
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44341

Domingues,  Francisco S.
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Büch,  Joachim
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44907

Lengauer,  Thomas
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Citation

Sing, T., Low, A. J., Beerenwinkel, N., Sander, O., Cheung, P. K., Domingues, F. S., et al. (2007). Predicting HIV coreceptor usage on the basis of genetic and clinical covariates. Antiviral Therapy, 12(7), 1097-1106.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-205E-D
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