C. Kenost

发表

Biomechanisms of Comorbidity: Reviewing Integrative Analyses of Multi-omics Datasets and Electronic Health Records

M. Gonzalez-Garay, Y. Lussier, J. Berghout, 2016, Yearbook of Medical Informatics.

Novel disease syndromes unveiled by integrative multiscale network analysis of diseases sharing molecular effectors and comorbidities

Pradeep C. Koripella, E. Bedrick, Jiali Han, 2018, BMC Medical Genomics.

iDEG: a single-subject method utilizing local estimates of dispersion to impute differential expression between two transcriptomes

Samir Rachid Zaim, Y. Lussier, J. Berghout, 2018, bioRxiv.

Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine

Samir Rachid Zaim, Y. Lussier, J. Berghout, 2018 .

N-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes

Yves A. Lussier, Haiquan Li, Joanne Berghout, 2017, BMC Medical Genomics.

Personalized beyond Precision: Designing Unbiased Gold Standards to Improve Single-Subject Studies of Personal Genome Dynamics from Gene Products

Samir Rachid Zaim, Y. Lussier, C. Kenost, 2020, Journal of personalized medicine.

Electronic Health Record-Integrated Clinical Decision Support for Clinicians Serving Populations Facing Health Care Disparities: Literature Review

Polina V. Kukhareva, Carole H. Stipelman, E. Trepman, 2022, Yearbook of Medical Informatics.

kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects

Yves A. Lussier, Haiquan Li, Joanne Berghout, 2017, J. Biomed. Informatics.

Comparison and impact of COVID-19 for patients with cancer: a survival analysis of fatality rate controlling for age, sex and cancer type

Y. Lussier, C. Kenost, Haiquan Li, 2021, BMJ Health & Care Informatics.

Novel disease syndromes unveiled by integrative multiscale network analysis of diseases sharing molecular effectors and comorbidities

Pradeep C. Koripella, E. Bedrick, Jiali Han, 2018, BMC Medical Genomics.

A Single-Subject Method to Detect Pathways Enriched With Alternatively Spliced Genes

Yves A. Lussier, Colleen Kenost, Dillon Aberasturi, 2019, Front. Genet..

Developing a ‘personalome’ for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes

Joanne Berghout, Qike Li, Francesca Vitali, 2017, Briefings Bioinform..

Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes

Yves A. Lussier, Joanne Berghout, Qike Li, 2019, AMIA.

‘Single-subject studies’-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases

Samir Rachid Zaim, Y. Lussier, J. Berghout, 2021, Bioinformatics.

‘Single-subject studies’-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases

Samir Rachid Zaim, Y. Lussier, J. Berghout, 2021, bioRxiv.

Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine

Yves A. Lussier, Joanne Berghout, Francesca Vitali, 2018, BMC Medical Genomics.

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Joanne Berghout, Yves A Lussier, Hao Helen Zhang, 2020, BMC bioinformatics.

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Yves A. Lussier, Joanne Berghout, Colleen Kenost, 2019, BMC Bioinformatics.

A genome-by-environment interaction classifier for precision medicine: personal transcriptome response to rhinovirus identifies children prone to asthma exacerbations

Yves A. Lussier, Jianrong Li, Haiquan Li, 2017, J. Am. Medical Informatics Assoc..

N-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes

Y. Lussier, J. Berghout, V. Gardeux, 2017, BMC Medical Genomics.

Personalized beyond Precision: Designing Unbiased Gold Standards to Improve Single-Subject Studies of Personal Genome Dynamics from Gene Products

Yves A. Lussier, Hao Helen Zhang, Samir Rachid Zaim, 2020, Journal of personalized medicine.

iDEG: a single-subject method utilizing local estimates of dispersion to impute differential expression between two transcriptomes

Samir Rachid Zaim, Y. Lussier, J. Berghout, 2018, bioRxiv.

Analysis of aggregated cell–cell statistical distances within pathways unveils therapeutic-resistance mechanisms in circulating tumor cells

Yves A. Lussier, Haiquan Li, James L. Chen, 2016, Bioinform..

ICD-10 procedure codes produce transition challenges

Yves A. Lussier, Mike D. Burton, Andrew D. Boyd, 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Metrics and tools for consistent cohort discovery and financial analyses post-transition to ICD-10-CM

Neil Bahroos, Yves A. Lussier, Jianrong Li, 2015, J. Am. Medical Informatics Assoc..

Challenges and remediation for Patient Safety Indicators in the transition to ICD-10-CM

Yves A. Lussier, Jianrong Li, Mike D. Burton, 2014, J. Am. Medical Informatics Assoc..

COPD Hospitalization Risk Increased with Distinct Patterns of Multiple Systems Comorbidities Unveiled by Network Modeling

Yves A. Lussier, Jianrong Li, Andrew D. Boyd, 2014, AMIA.

iDEG: a single-subject method utilizing local estimates of dispersion to impute differential expression between two transcriptomes

Yves A. Lussier, Haiquan Li, Joanne Berghout, 2018, bioRxiv.

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Zhang, Rachid Zaim, Kenost, 2019, BMC Bioinformatics.

binomialRF: Scalable Feature Selection and Screening for Random Forests to Identify Biomarkers and Their Interactions

Samir Rachid Zaim, Y. Lussier, C. Kenost, 2019 .