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Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects
View ORCID ProfileFedor Galkin, View ORCID ProfileAleksandr Aliper, View ORCID ProfileEvgeny Putin, Igor Kuznetsov, View ORCID ProfileVadim N. Gladyshev, View ORCID ProfileAlex Zhavoronkov
doi: https://doi.org/10.1101/507780
Fedor Galkin
1Insilico Medicine, Rockville, Maryland 20850, USA
Aleksandr Aliper
1Insilico Medicine, Rockville, Maryland 20850, USA
Evgeny Putin
1Insilico Medicine, Rockville, Maryland 20850, USA
Igor Kuznetsov
1Insilico Medicine, Rockville, Maryland 20850, USA
Vadim N. Gladyshev
2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
Alex Zhavoronkov
1Insilico Medicine, Rockville, Maryland 20850, USA
3Buck Institute for Research on Aging, Novato, CA, USA
4Biogerontology Research Foundation, London, UK
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Posted December 28, 2018.
Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects
Fedor Galkin, Aleksandr Aliper, Evgeny Putin, Igor Kuznetsov, Vadim N. Gladyshev, Alex Zhavoronkov
bioRxiv 507780; doi: https://doi.org/10.1101/507780
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