Hepler, N. L., Scheffler, K., Weaver, S., Murrell, B., Richman, D. D., Burton, D. R., Poignard, P., Smith, D. M., & Kosakovsky Pond, S. L. (2014). IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform. PLo S Computational Biology, 10(9), 1-10. https://doi.org/10.1371/journal.pcbi.1003842
ISO-690 (author-date, English)HEPLER, N. Lance, SCHEFFLER, Konrad, WEAVER, Steven, MURRELL, Ben, RICHMAN, Douglas D., BURTON, Dennis R., POIGNARD, Pascal, SMITH, Davey M. und KOSAKOVSKY POND, Sergei L., 2014. IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform. PLo S Computational Biology. 1 September 2014. Vol. 10, no. 9, p. 1-10. DOI 10.1371/journal.pcbi.1003842.
Modern Language Association 9th editionHepler, N. L., K. Scheffler, S. Weaver, B. Murrell, D. D. Richman, D. R. Burton, P. Poignard, D. M. Smith, und S. L. Kosakovsky Pond. „IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform.“. PLo S Computational Biology, Bd. 10, Nr. 9, September 2014, S. 1-10, https://doi.org/10.1371/journal.pcbi.1003842.
Mohr Siebeck - Recht (Deutsch - Österreich)Hepler, N. Lance/Scheffler, Konrad/Weaver, Steven/Murrell, Ben/Richman, Douglas D./Burton, Dennis R. u. a.: IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform., PLo S Computational Biology 2014, 1-10.
Emerald - HarvardHepler, N.L., Scheffler, K., Weaver, S., Murrell, B., Richman, D.D., Burton, D.R., Poignard, P., Smith, D.M. und Kosakovsky Pond, S.L. (2014), „IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform.“, PLo S Computational Biology, Vol. 10 No. 9, S. 1-10.