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Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state

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Zeitschriftentitel: PLOS ONE
Personen und Körperschaften: Duffy, Fergal J., Thompson, Ethan G., Scriba, Thomas J., Zak, Daniel E.
In: PLOS ONE, 14, 2019, 7, S. e0219322
Format: E-Article
Sprache: Englisch
veröffentlicht:
Public Library of Science (PLoS)
Schlagwörter:
Multidisciplinary
author_facet Duffy, Fergal J.
Thompson, Ethan G.
Scriba, Thomas J.
Zak, Daniel E.
Duffy, Fergal J.
Thompson, Ethan G.
Scriba, Thomas J.
Zak, Daniel E.
author Duffy, Fergal J.
Thompson, Ethan G.
Scriba, Thomas J.
Zak, Daniel E.
spellingShingle Duffy, Fergal J.
Thompson, Ethan G.
Scriba, Thomas J.
Zak, Daniel E.
PLOS ONE
Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
Multidisciplinary
author_sort duffy, fergal j.
spelling Duffy, Fergal J. Thompson, Ethan G. Scriba, Thomas J. Zak, Daniel E. 1932-6203 Public Library of Science (PLoS) Multidisciplinary http://dx.doi.org/10.1371/journal.pone.0219322 Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state PLOS ONE
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title Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_unstemmed Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_full Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_fullStr Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_full_unstemmed Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_short Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_sort multinomial modelling of tb/hiv co-infection yields a robust predictive signature and generates hypotheses about the hiv+tb+ disease state
topic Multidisciplinary
url http://dx.doi.org/10.1371/journal.pone.0219322
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author Duffy, Fergal J., Thompson, Ethan G., Scriba, Thomas J., Zak, Daniel E.
author_facet Duffy, Fergal J., Thompson, Ethan G., Scriba, Thomas J., Zak, Daniel E., Duffy, Fergal J., Thompson, Ethan G., Scriba, Thomas J., Zak, Daniel E.
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spelling Duffy, Fergal J. Thompson, Ethan G. Scriba, Thomas J. Zak, Daniel E. 1932-6203 Public Library of Science (PLoS) Multidisciplinary http://dx.doi.org/10.1371/journal.pone.0219322 Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state PLOS ONE
spellingShingle Duffy, Fergal J., Thompson, Ethan G., Scriba, Thomas J., Zak, Daniel E., PLOS ONE, Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state, Multidisciplinary
title Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_full Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_fullStr Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_full_unstemmed Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_short Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
title_sort multinomial modelling of tb/hiv co-infection yields a robust predictive signature and generates hypotheses about the hiv+tb+ disease state
title_unstemmed Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state
topic Multidisciplinary
url http://dx.doi.org/10.1371/journal.pone.0219322