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Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical data.

, , , , and . BCB, page 611-615. ACM, (2016)

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Baseline CD4+ T Cell Counts Correlates with HIV-1 Synonymous Rate in HLA-B*5701 Subjects with Different Risk of Disease Progression., , , , , , , , and . PLoS Comput. Biol., (2014)QuRe: software for viral quasispecies reconstruction from next-generation sequencing data., and . Bioinform., 28 (1): 132-133 (2012)HIV-1 Coreceptor Usage Prediction via Indexed Local Kernel Smoothing Methods and Grid-Based Multiple Statistical Validation., , , and . CBMS, page 465-470. IEEE Computer Society, (2007)Can multiple SNP testing in BRCA2 and BRCA1 female carriers be used to improve risk prediction models in conjunction with clinical assessment?, , , , , and . BMC Medical Informatics Decis. Mak., (2014)Stochastic modelling of genotypic drug-resistance for human immunodeficiency virus towards long-term combination therapy optimization., , , , , and . Bioinform., 25 (8): 1040-1047 (2009)A Prognostic Model for Estimating the Time to Virologic Failure in HIV-1 Infected Patients Undergoing a New Combination Antiretroviral Therapy Regimen., , , , , , , , , and 6 other author(s). BMC Medical Informatics Decis. Mak., (2011)A* fast and scalable high-throughput sequencing data error correction via oligomers., , and . CIBCB, page 1-9. IEEE, (2016)HErCoOl: High-Throughput Error Correction by Oligomers., and . CBMS, page 227-232. IEEE Computer Society, (2014)Combinatorial analysis and algorithms for quasispecies reconstruction using next-generation sequencing., , , , , , , , and . BMC Bioinform., (2011)Statistical Comparison of Machine Learning Techniques for Treatment Optimisation of Drug-Resistant HIV-1., , and . CBMS, page 427-432. IEEE Computer Society, (2007)