Colleen Kenost, EdD, MPH
Colleen Kenost, EdD, MPH
Strategic Operations Director, University of Utah Dept of Biomedical Informatics
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Zitiert von
Zitiert von
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
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 (1), 5-16, 2017
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
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
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
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
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
Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine
SR Zaim, C Kenost, J Berghout, F Vitali, HH Zhang, YA Lussier
BMC medical genomics 12 (5), 1-15, 2019
Biomechanisms of comorbidity: Reviewing integrative analyses of multi-omics datasets and electronic health records
N Pouladi, I Achour, H Li, J Berghout, C Kenost, ML Gonzalez-Garay, ...
Yearbook of medical informatics, 194, 2016
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 (6), 1-15, 2018
COPD hospitalization risk increased with distinct patterns of multiple systems comorbidities unveiled by network modeling
YJ Lee, AD Boyd, VG Jianrong‘John’Li, C Kenost, D Saner, H Li, ...
AMIA Annual Symposium Proceedings 2014, 855, 2014
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
binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
SR Zaim, C Kenost, J Berghout, W Chiu, L Wilson, HH Zhang, YA Lussier
BMC bioinformatics 21 (1), 1-22, 2020
A single-subject method to detect pathways enriched with alternatively spliced genes
AG Schissler, D Aberasturi, C Kenost, YA Lussier
Frontiers in genetics 10, 414, 2019
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
iDEG: A single-subject 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, 405332, 2018
" 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, ...
bioRxiv, 2021
COVID-19 increases age-and sex-controlled 21-day fatality rates for patients with melanoma, hematologic malignancies, uterine cancer, or kidney cancer
H Li, EA Baldwin, X Zhang, C Kenost, W Luo, EA Calhoun, L An, ...
medRxiv, 2021
Personalized beyond precision: designing unbiased gold standards to improve single-subject studies of personal genome dynamics from gene products
S Rachid Zaim, C Kenost, HH Zhang, YA Lussier
Journal of Personalized Medicine 11 (1), 24, 2021
MicroRNAs response to concurrent chemoradiotherapy predicts oligo-and polymetastatic progression in patients with Stage IV colorectal adenocarcinoma
SH Lee, N Pouladi, C Kenost, F Vitali, YA Lussier
Cancer Research 79 (13 Supplement), 2782-2782, 2019
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