Author

S. E. Howlett

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Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

A. E. Kane· 1 shared D. A. Sinclair· 1 shared E. Warner· 1 shared J. R. Mitchell· 1 shared M. B. Schultz· 1 shared M. R. MacArthur· 1 shared M. S. Bonkowski· 1 shared S. J. Mitchell· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperPhysiology

A. E. Kane

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1 paper

Recent·Most cited

Age and life expectancy clocks based on machine learning analysis of mouse frailty

M. B. Schultz, A. E. Kane, S. J. Mitchell, M. R. MacArthur, E. Warner, J. R. Mitchell, S. E. Howlett, M. S. Bonkowski, D. A. Sinclair

This paper develops two machine learning clocks to predict chronological age and life expectancy in mice using Frailty Indices, showing their accuracy in predicting lifespan and intervention efficacy.

bioRxiv · Dec 20, 2019Physiology