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Stochastic modelling of genotypic drug-resistance for human immunodeficiency virus towards long-term combination therapy optimization.

, , , , , and . Bioinformatics, 25 (8): 1040-1047 (2009)

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Structured Proportional Jump Processes., , , , and . UAI, page 172-181. AUAI Press, (2014)A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy., , , , , , , , , and 6 other author(s). Artificial Intelligence in Medicine, 47 (1): 63-74 (2009)Beyond Sparsity: Tree Regularization of Deep Models for Interpretability., , , , , and . CoRR, (2017)Selecting anti-HIV therapies based on a variety of genomic and clinical factors., , , , , , , , , and 3 other author(s). ISMB, page 399-406. (2008)Regional Tree Regularization for Interpretability in Black Box Models., , , , , , , and . CoRR, (2019)Stochastic modelling of genotypic drug-resistance for human immunodeficiency virus towards long-term combination therapy optimization., , , , , and . Bioinformatics, 25 (8): 1040-1047 (2009)RegaDB: community-driven data management and analysis for infectious diseases., , , , , , , , , and 22 other author(s). Bioinformatics, 29 (11): 1477-1480 (2013)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 Med. Inf. & Decision Making, (2011)Beyond Sparsity: Tree Regularization of Deep Models for Interpretability., , , , , and . AAAI, page 1670-1678. AAAI Press, (2018)Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical data., , , , and . BCB, page 611-615. ACM, (2016)