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1. Hake A: Predicting and analyzing HIV-1 adaptation to broadly neutralizing antibodies and the host immune system using machine learning. Universität des Saarlandes; 2023.
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BibTeX
@phdthesis{Hake_PhD2023,
TITLE = {Predicting and analyzing {HIV}-1 adaptation to broadly neutralizing antibodies and the host immune system using machine learning},
AUTHOR = {Hake, Anna},
LANGUAGE = {eng},
URL = {urn:nbn:de:bsz:291--ds-395323},
DOI = {10.22028/D291-39532},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
}
Endnote
%0 Thesis
%A Hake, Anna
%Y Pfeifer, Nico
%A referee: Kalinina, Olga V.
%+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
%T Predicting and analyzing HIV-1 adaptation to broadly neutralizing antibodies and the host immune system using machine learning :
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-10E8-B
%R 10.22028/D291-39532
%U urn:nbn:de:bsz:291--ds-395323
%F OTHER: hdl:20.500.11880/35743
%I Universität des Saarlandes
%C Saarbrücken
%D 2023
%P xv; 210 p
%V phd
%9 phd
%U https://scidok.sulb.uni-saarland.de/handle/20.500.11880/35743