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  Prediction of anti-tuberculosis treatment duration based on a 22-gene transcriptomic model

Heyckendorf, J., Marwitz, S., Reimann, M., Avsar, K., DiNardo, A. R., Günther, G., et al. (2021). Prediction of anti-tuberculosis treatment duration based on a 22-gene transcriptomic model. Eur Respir J, 58(3). doi:10.1183/13993003.03492-2020.

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Genre: Journal Article

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 Creators:
Heyckendorf, Jan, Author
Marwitz, Sebastian, Author
Reimann, Maja, Author
Avsar, Korkut, Author
DiNardo, Andrew R, Author
Günther, Gunar, Author
Hoelscher, Michael, Author
Ibraim, Elmira, Author
Kalsdorf, Barbara, Author
Kaufmann, Stefan H. E.1, Author              
Kontsevaya, Irina, Author
van Leth, Frank, Author
Mandalakas, Anna M, Author
Maurer, Florian P, Author
Müller, Marius, Author
Nitschkowski, Dörte, Author
Olaru, Ioana D, Author
Popa, Cristina, Author
Rachow, Andrea, Author
Rolling, Thierry, Author
Rybniker, Jan, AuthorSalzer, Helmut J F, AuthorSanchez-Carballo, Patricia, AuthorSchuhmann, Maren, AuthorSchaub, Dagmar, AuthorSpinu, Victor, AuthorSuárez, Isabelle, AuthorTerhalle, Elena, AuthorUnnewehr, Markus, Authorrd, January Weiner, AuthorGoldmann, Torsten, AuthorLange, Christoph, Author more..
Affiliations:
1Department of Immunology, Max Planck Institute for Infection Biology, Max Planck Society, ou_1664146              

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Language(s): eng - English
 Dates: 2021-09-02
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1183/13993003.03492-2020.
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Title: Eur Respir J
Source Genre: Journal
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 58 (3) Sequence Number: - Start / End Page: - Identifier: -