Timothy E Sweeney
Timothy E Sweeney
Inflammatix Inc; previously @ Stanford
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis
TE Sweeney, L Braviak, CM Tato, P Khatri
The Lancet Respiratory Medicine 4 (3), 213-224, 2016
Heme oxygenase-1 couples activation of mitochondrial biogenesis to anti-inflammatory cytokine expression
CA Piantadosi, CM Withers, RR Bartz, NC MacGarvey, P Fu, TE Sweeney, ...
Journal of Biological Chemistry 286 (18), 16374-16385, 2011
The human gut microbiome: a review of the effect of obesity and surgically induced weight loss
TE Sweeney, JM Morton
JAMA surgery 148 (6), 563-569, 2013
A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set
TE Sweeney, A Shidham, HR Wong, P Khatri
Science translational medicine 7 (287), 287ra71-287ra71, 2015
Robust classification of bacterial and viral infections via integrated host gene expression diagnostics
TE Sweeney, HR Wong, P Khatri
Science translational medicine 8 (346), 346ra91-346ra91, 2016
Integrated, multi-cohort analysis identifies conserved transcriptional signatures across multiple respiratory viruses
M Andres-Terre, HM McGuire, Y Pouliot, E Bongen, TE Sweeney, ...
Immunity 43 (6), 1199-1211, 2015
Unsupervised analysis of transcriptomics in bacterial sepsis across multiple datasets reveals three robust clusters
TE Sweeney, TD Azad, M Donato, WA Haynes, TM Perumal, R Henao, ...
Critical care medicine 46 (6), 915, 2018
Metabolic surgery: action via hormonal milieu changes, changes in bile acids or gut microbiota? A summary of the literature
TE Sweeney, JM Morton
Best practice & research Clinical gastroenterology 28 (4), 727-740, 2014
A community approach to mortality prediction in sepsis via gene expression analysis
TE Sweeney, TM Perumal, R Henao, M Nichols, JA Howrylak, AM Choi, ...
Nature communications 9 (1), 1-10, 2018
Learning statistical models of phenotypes using noisy labeled training data
V Agarwal, T Podchiyska, JM Banda, V Goel, TI Leung, EP Minty, ...
Journal of the American Medical Informatics Association 23 (6), 1166-1173, 2016
Methods to increase reproducibility in differential gene expression via meta-analysis
TE Sweeney, WA Haynes, F Vallania, JP Ioannidis, P Khatri
Nucleic acids research 45 (1), e1-e1, 2017
Complement pathway amplifies caspase-11–dependent cell death and endotoxin-induced sepsis severity
BA Napier, SW Brubaker, TE Sweeney, P Monette, GH Rothmeier, ...
Journal of Experimental Medicine 213 (11), 2365-2382, 2016
Encouraging mindfulness in medical house staff via smartphone app: a pilot study
L Wen, TE Sweeney, L Welton, M Trockel, L Katznelson
Academic psychiatry 41 (5), 646-650, 2017
Empowering multi-cohort gene expression analysis to increase reproducibility
WA Haynes, F Vallania, C Liu, E Bongen, A Tomczak, M Andres-Terrè, ...
Co-regulation of nuclear respiratory factor-1 by NFκB and CREB links LPS-induced inflammation to mitochondrial biogenesis
HB Suliman, TE Sweeney, CM Withers, CA Piantadosi
Journal of cell science 123 (15), 2565-2575, 2010
Assessment of validity of a blood-based 3-gene signature score for progression and diagnosis of tuberculosis, disease severity, and treatment response
HC Warsinske, AM Rao, FMF Moreira, PCP Santos, AB Liu, M Scott, ...
JAMA network open 1 (6), e183779-e183779, 2018
Using the wisdom of the crowds to find critical errors in biomedical ontologies: a study of SNOMED CT
JM Mortensen, EP Minty, M Januszyk, TE Sweeney, AL Rector, NF Noy, ...
Journal of the American Medical Informatics Association 22 (3), 640-648, 2015
Benchmarking sepsis gene expression diagnostics using public data
TE Sweeney, P Khatri
Critical care medicine 45 (1), 1, 2017
Identifying distinct subgroups of intensive care unit patients: A machine learning approach
KC Vranas, JK Jopling, TE Sweeney, MC Ramsey, AS Milstein, ...
Critical care medicine 45 (10), 1607, 2017
A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections
MB Mayhew, L Buturovic, R Luethy, U Midic, AR Moore, JA Roque, ...
Nature communications 11 (1), 1-10, 2020
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