Author

S. Nakashima

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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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

T. J. Kobayashi· 2 shared Y. Sughiyama· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersEvolutionary Biology

T. J. Kobayashi

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2 papers

Recent·Most cited

Acceleration of Evolutionary Processes by Learning and Extended Fisher's Fundamental Theorem

S. Nakashima, T. J. Kobayashi

This paper shows that ancestral learning can accelerate evolutionary processes by using information from ancestors, and extends Fisher's Fundamental Theorem to quantify this acceleration.

bioRxiv · Jun 7, 2021Evolutionary Biology

Lineage EM Algorithm for Inferring Latent States from Cellular Lineage Trees

S. Nakashima, Y. Sughiyama, T. J. Kobayashi

This paper introduces the Lineage EM algorithm to infer latent cell phenotypes from lineage trees while addressing survivorship bias.

bioRxiv · Nov 29, 2019Evolutionary Biology