Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters
Critical Care Medicine2018Vol. 46(6), pp. 915–925
Citations Over TimeTop 1% of 2018 papers
Timothy E. Sweeney, Tej D. Azad, Michele Donato, Winston Haynes, Thanneer M. Perumal, Ricardo Henao, Jesús F. Bermejo-Martín, Raquel Almansa, Eduardo Tamayo, Judith A. Howrylak, Augustine M.K. Choi, Grant P. Parnell, Benjamin Tang, Marshall Nichols, Christopher W. Woods, Geoffrey S. Ginsburg, Stephen F. Kingsmore, Larsson Omberg, Lara M. Mangravite, Hector R. Wong, Ephraim L. Tsalik, Raymond J. Langley, Purvesh Khatri
Abstract
The three sepsis subtypes may represent a unifying framework for understanding the molecular heterogeneity of the sepsis syndrome. Further study could potentially enable a precision medicine approach of matching novel immunomodulatory therapies with septic patients most likely to benefit.
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