Author

Michael Tartakovsky

National Institutes of HealthORCID 0000-0002-8132-9013Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alex RosenthaliD· 1 shared Andrei E. GabrielianiD· 1 shared Boris VishnepolskyiD· 1 shared Darrell E. HurtiD· 1 shared Grigol Managadze· 1 shared Malak Pirtskhalava· 1 shared Maya Grigolava· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alex RosenthalORCID

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1 paper

Recent·Most cited

BioinformaticsBriefings in BioinformaticsPeer-reviewedJun 20, 2022

Comparative analysis of machine learning algorithms on the microbial strain-specific AMP prediction

Boris Vishnepolsky, Maya Grigolava, Grigol Managadze…·Malak Pirtskhalava

The paper compares machine learning algorithms for predicting antimicrobial peptides (AMPs) specific to microbial strains, finding Random Forest and AdaBoost perform best with improved accuracy using genome characteristics.

46 citationstop 3%

bacteria (other)proteomics