Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth of HIV in the Context of a CD8 T-cell Mediated HIV Response

Jonathan Hare; Jama Dalel; Rachel Rosenthal; Andrew Fiore-Gartland; Daniela Monaco; Ed McGowan; Jan De Bont; Morten Nielsen; Eric Hunter; Jill Gilmour

doi:10.1089/aid.2018.5000.abstracts

Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth of HIV in the Context of a CD8 T-cell Mediated HIV Response

Jonathan Hare, Jama Dalel, Rachel Rosenthal, Andrew Fiore-Gartland, Daniela Monaco, Ed McGowan, Jan De Bont, Morten Nielsen, Eric Hunter, Jill Gilmour

Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

Original language	English
Article number	OA07.03
Journal	AIDS Research and Human Retroviruses
Volume	34
Issue number	Suppl. 1
Pages (from-to)	32-32
ISSN	0889-2229
DOIs	https://doi.org/10.1089/aid.2018.5000.abstracts
Publication status	Published - 2018

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Hare, J., Dalel, J., Rosenthal, R., Fiore-Gartland, A., Monaco, D., McGowan, E., De Bont, J., Nielsen, M., Hunter, E., & Gilmour, J. (2018). Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth of HIV in the Context of a CD8 T-cell Mediated HIV Response. AIDS Research and Human Retroviruses, 34(Suppl. 1), 32-32. Article OA07.03. https://doi.org/10.1089/aid.2018.5000.abstracts

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title = "Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth of HIV in the Context of a CD8 T-cell Mediated HIV Response",

author = "Jonathan Hare and Jama Dalel and Rachel Rosenthal and Andrew Fiore-Gartland and Daniela Monaco and Ed McGowan and {De Bont}, Jan and Morten Nielsen and Eric Hunter and Jill Gilmour",

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Hare, J, Dalel, J, Rosenthal, R, Fiore-Gartland, A, Monaco, D, McGowan, E, De Bont, J, Nielsen, M, Hunter, E & Gilmour, J 2018, 'Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth of HIV in the Context of a CD8 T-cell Mediated HIV Response', AIDS Research and Human Retroviruses, vol. 34, no. Suppl. 1, OA07.03, pp. 32-32. https://doi.org/10.1089/aid.2018.5000.abstracts

Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth of HIV in the Context of a CD8 T-cell Mediated HIV Response. / Hare, Jonathan; Dalel, Jama; Rosenthal, Rachel et al.
In: AIDS Research and Human Retroviruses, Vol. 34, No. Suppl. 1, OA07.03, 2018, p. 32-32.

Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

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