Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Judith A. Howrylak"'
Autor:
Timothy E. Sweeney, Thanneer M. Perumal, Ricardo Henao, Marshall Nichols, Judith A. Howrylak, Augustine M. Choi, Jesús F. Bermejo-Martin, Raquel Almansa, Eduardo Tamayo, Emma E. Davenport, Katie L. Burnham, Charles J. Hinds, Julian C. Knight, Christopher W. Woods, Stephen F. Kingsmore, Geoffrey S. Ginsburg, Hector R. Wong, Grant P. Parnell, Benjamin Tang, Lyle L. Moldawer, Frederick E. Moore, Larsson Omberg, Purvesh Khatri, Ephraim L. Tsalik, Lara M. Mangravite, Raymond J. Langley
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Sepsis is characterized by deregulated host response to infection. Efficient therapies are still needed but a limitation for sepsis treatment is the heterogeneity in patients. Here Sweeney et al. generate prognostic models based on gene expression to
Externí odkaz:
https://doaj.org/article/87658db7864648bb930cc04d02ab688a
Autor:
Lara M. Mangravite, Raymond J. Langley, Jesus F. Bermejo-Martin, Eduardo Tamayo, Larsson Omberg, Ephraim L. Tsalik, Stephen F. Kingsmore, Tej D. Azad, Thanneer M. Perumal, Raquel Almansa, Michele Donato, Grant P Parnell, Timothy E. Sweeney, Judith A. Howrylak, Geoffrey S. Ginsburg, Marshall Nichols, Winston A. Haynes, Benjamin Tang, Ricardo Henao, Purvesh Khatri, Hector R. Wong, Christopher W. Woods, Augustine M.K. Choi
Publikováno v:
Critical care medicine. 46(6)
OBJECTIVE: To find and validate generalizable sepsis subtypes using data-driven clustering. DESIGN: We used advanced informatics techniques to pool data from 14 bacterial sepsis transcriptomic datasets from 8 different countries (N=700). SETTING: Ret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411227f97ff12d2b5bc7013b84f50676
https://pubmed.ncbi.nlm.nih.gov/29537985
https://pubmed.ncbi.nlm.nih.gov/29537985