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Plos Computational Biology|March 3, 2020
Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogensJason C Hyun, Erol S Kavvas, Jonathan M Monk, et al.Nature Communications|May 24, 2020
A biochemically-interpretable machine learning classifier for microbial GWASErol S Kavvas, Laurence Yang, Jonathan M Monk, et al.Metabolic Engineering|November 11, 2021
Adaptive laboratory evolution for improved tolerance of isobutyl acetate in Escherichia coliMorgan M Matson, Mateo M Cepeda, Angela Zhang, et al.BMC Systems Biology|March 4, 2018
Updated and standardized genome-scale reconstruction of Mycobacterium tuberculosis H37Rv, iEK1011, simulates flux states indicative of physiological conditionsErol S Kavvas, Yara Seif, James T Yurkovich, et al.BMC Systems Biology|June 9, 2016
Evaluation of rate law approximations in bottom-up kinetic models of metabolismBin Du, Daniel C Zielinski, Erol S Kavvas, et al.Nature Communications|October 19, 2018
Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistanceErol S Kavvas, Edward Catoiu, Nathan Mih, et al.Msystems|October 13, 2022
Experimental Evolution Reveals Unifying Systems-Level Adaptations but Diversity in Driving GenotypesErol S Kavvas, Christopher P Long, Anand Sastry, et al.Pageof 1