Author

Mikhail Barg

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aleksandr ZeniniD· 1 shared Alexey Kondrashin· 1 shared Boris Zhurov· 1 shared Konstantin Slipensky· 1 shared L. I. Men’shikov· 1 shared Mikhail A. PyatnitskiyiD· 1 shared Peter O. FedicheviD· 1 shared Sergei MarkoviD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aleksandr ZeninORCID

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1 paper

Recent·Most cited

Extracting biological age from biomedical data via deep learning: too much of a good thing?

Timothy V. Pyrkov, Konstantin Slipensky, Mikhail Barg, Alexey Kondrashin, Boris Zhurov, Aleksandr Zenin, Mikhail A. Pyatnitskiy, L. I. Men’shikov, Sergei Markov, Peter O. Fedichev

This study compares biological age models using NHANES data, finding that supervised models improve age estimation but reduce mortality prediction accuracy, and introduces a new mortality risk model.

Scientific Reports · Mar 26, 2018Peer-reviewedBioinformatics