| 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 | 33 | 2019 |
| 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 | 29 | 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, 5-16, 2017 | 28 | 2017 |
| 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 | 20 | 2017 |
| 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 | 19 | 2015 |
| 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 | 18 | 2015 |
| 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 | 17 | 2021 |
| 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 | 14 | 2016 |
| 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 | 13 | 2019 |
| 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 | 12 | 2018 |
| 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 | 11 | 2018 |
| 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 | 10 | 2016 |
| 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, 2020 | 9 | 2020 |
| 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 | 8 | 2014 |
| 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 | 6 | 2020 |
| 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 | 4 | 2020 |
| 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 | 4 | 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, ... Bioinformatics 37 (Supplement_1), i67-i75, 2021 | 3 | 2021 |
| 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 | 3 | 2018 |
| binomialRF: Scalable Feature Selection and Screening for Random Forests to Identify Biomarkers and Their Interactions SR Zaim, C Kenost, YA Lussier, HH Zhang bioRxiv, 681973, 2019 | 1 | 2019 |
Yves A. Lussier, B. Engineer., M.D., Fe...Professor and Chair, Department of Biomedical Informatics, University of Utah School of MedicineVerified email at utah.edu
