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Colleen Kenost, EdD, MPH
Colleen Kenost, EdD, MPH
Strategic Operations Director, University of Utah Dept of Biomedical Informatics
Verified email at utah.edu
Title
Cited by
Cited by
Year
Developing a ‘personalome’for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes
F Vitali, Q Li, AG Schissler, J Berghout, C Kenost, YA Lussier
Briefings in bioinformatics 20 (3), 789-805, 2019
312019
A genome-by-environment interaction classifier for precision medicine: personal transcriptome response to rhinovirus identifies children prone to asthma exacerbations
V Gardeux, J Berghout, I Achour, AG Schissler, Q Li, C Kenost, J Li, ...
Journal of the American Medical Informatics Association 24 (6), 1116-1126, 2017
282017
N-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes
Q Li, AG Schissler, V Gardeux, I Achour, C Kenost, J Berghout, H Li, ...
BMC Medical Genomics 10, 5-16, 2017
282017
kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects
Q Li, AG Schissler, V Gardeux, J Berghout, I Achour, C Kenost, H Li, ...
Journal of biomedical informatics 66, 32-41, 2017
202017
Challenges and remediation for Patient Safety Indicators in the transition to ICD-10-CM
AD Boyd, YM Yang, J Li, C Kenost, MD Burton, B Becker, YA Lussier
Journal of the American Medical Informatics Association 22 (1), 19-28, 2015
192015
Metrics and tools for consistent cohort discovery and financial analyses post-transition to ICD-10-CM
AD Boyd, J ‘John’Li, C Kenost, B Joese, Y Min Yang, OA Kalagidis, ...
Journal of the American Medical Informatics Association 22 (3), 730-737, 2015
182015
Comparison and impact of COVID-19 for patients with cancer: a survival analysis of fatality rate controlling for age, sex and cancer type
H Li, E Baldwin, X Zhang, C Kenost, W Luo, EA Calhoun, L An, ...
BMJ health & care informatics 28 (1), 2021
142021
Analysis of aggregated cell–cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells
AG Schissler, Q Li, JL Chen, C Kenost, I Achour, DD Billheimer, H Li, ...
Bioinformatics 32 (12), i80-i89, 2016
142016
Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine
S Rachid Zaim, C Kenost, J Berghout, F Vitali, HH Zhang, YA Lussier
BMC medical genomics 12, 1-15, 2019
132019
ICD-10 procedure codes produce transition challenges
AD Boyd, C Kenost, SR Zaim, J Krive, M Mittal, RA Satava, M Burton, ...
AMIA Summits on Translational Science Proceedings 2018, 35, 2018
122018
Novel disease syndromes unveiled by integrative multiscale network analysis of diseases sharing molecular effectors and comorbidities
H Li, J Fan, F Vitali, J Berghout, D Aberasturi, J Li, L Wilson, W Chiu, ...
BMC medical genomics 11, 1-15, 2018
102018
Interpretation of ‘Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes
Q Li, SR Zaim, D Aberasturi, J Berghout, H Li, F Vitali, C Kenost, ...
AMIA Annual Symposium Proceedings 2019, 582, 2019
92019
Biomechanisms of comorbidity: Reviewing integrative analyses of multi-omics datasets and electronic health records
N Pouladi, H Li, J Berghout, C Kenost, ML Gonzalez-Garay, YA Lussier
Yearbook of Medical Informatics 25 (01), 194-206, 2016
82016
COPD hospitalization risk increased with distinct patterns of multiple systems comorbidities unveiled by network modeling
YJ Lee, AD Boyd, V Gardeux, C Kenost, D Saner, H Li, I Abraham, ...
AMIA Annual Symposium Proceedings 2014, 855, 2014
72014
binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
S Rachid Zaim, C Kenost, J Berghout, W Chiu, L Wilson, HH Zhang, ...
BMC bioinformatics 21, 1-22, 2020
62020
Personalized beyond precision: designing unbiased gold standards to improve single-subject studies of personal genome dynamics from gene products
SR Zaim, C Kenost, HH Zhang, YA Lussier
Journal of Personalized Medicine 11 (1), 24, 2020
52020
iDEG: a single-subject method utilizing local estimates of dispersion to impute differential expression between two transcriptomes
Q Li, SR Zaim, D Aberasturi, J Berghout, H Li, F Vitali, C Kenost, ...
bioRxiv, 405332, 2018
42018
iDEG: a singlesubject method for assessing gene differential expression from two transcriptomes of an individual
Q Li, SR Zaim, D Aberasturi, J Berghout, H Li, C Kenost, HH Zhang, ...
bioRxiv, 2018
42018
‘Single-subject studies’-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases
D Aberasturi, N Pouladi, SR Zaim, C Kenost, J Berghout, WW Piegorsch, ...
Bioinformatics 37 (Supplement_1), i67-i75, 2021
32021
A single-subject method to detect pathways enriched with alternatively spliced genes
AG Schissler, D Aberasturi, C Kenost, YA Lussier
Frontiers in Genetics 10, 436595, 2019
12019
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