Alena Orlenko
Alena Orlenko
Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
Verified email at upenn.edu
Title
Cited by
Cited by
Year
Multiple plasma biomarkers for risk stratification in patients with heart failure and preserved ejection fraction
JA Chirinos, A Orlenko, L Zhao, MD Basso, ME Cvijic, Z Li, TE Spires, ...
Journal of the American College of Cardiology 75 (11), 1281-1295, 2020
262020
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure.
A Orlenko, JH Moore, P Orzechowski, RS Olson, J Cairns, PJ Caraballo, ...
Pacific Symposium on Biocomputing 2018 23, 460-471, 2018
262018
Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning
A Orlenko, D Kofink, LP Lyytikäinen, K Nikus, P Mishra, P Kuukasjärvi, ...
Bioinformatics 36 (6), 1772-1778, 2020
192020
Selection on metabolic pathway function in the presence of mutation-selection-drift balance leads to rate-limiting steps that are not evolutionarily stable
A Orlenko, AI Teufel, PB Chi, DA Liberles
Biology direct 11 (1), 1-14, 2016
112016
Flux control in glycolysis varies across the tree of life
A Orlenko, RA Hermansen, DA Liberles
Journal of molecular evolution 82 (2-3), 146-161, 2016
82016
Diagnostic biomarkers to differentiate sepsis from cytokine release syndrome in critically ill children
C Diorio, PA Shaw, E Pequignot, A Orlenko, F Chen, R Aplenc, DM Barrett, ...
Blood advances 4 (20), 5174-5183, 2020
62020
Characterizing the roles of changing population size and selection on the evolution of flux control in metabolic pathways
A Orlenko, PB Chi, DA Liberles
BMC evolutionary biology 17 (1), 1-16, 2017
62017
Metabolomics Insights in Early Childhood Caries
LH Heimisdottir, BM Lin, H Cho, A Orlenko, AA Ribeiro, A Simon-Soro, ...
Journal of Dental Research, 0022034520982963, 2021
32021
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions
A Orlenko, JH Moore
BioData mining 14 (1), 1-17, 2021
12021
PLASMA BIOMARKERS FOR RISK STRATIFICATION OF OUTCOMES IN PATIENTS WITH AORTIC STENOSIS
M Vidula, A Orlenko, L Zhao, L Salvador, A Smalll, E Horton, J Cohen, ...
Journal of the American College of Cardiology 77 (18_Supplement_1), 1753-1753, 2021
2021
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions.
A Orlenko, JH Moore
2021
A Targeted Plasma Multi-Marker Approach With Machine Learning for Risk Stratification in HFpEF: The TOPCAT Trial
JA Chirinos, A Orlenko, L Zhao, M Basso, ME Cvijic, Z Li, T Spires, ...
Circulation 140 (Suppl_1), A14549-A14549, 2019
2019
How Do Pathways Evolve?: Mutation-selection Balance an Co-evolution in Metabolic Pathways
A Orlenko
University of Wyoming, 2016
2016
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