Author

Megumi Fusé

San Francisco State UniversityORCID 0000-0001-9245-9465Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Scientific Communication & Education· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alan R. PeterfreundiD· 1 shared Allen KimiD· 1 shared Blake RiggsiD· 1 shared Carlos Gutierrez· 1 shared Faye OrcalesiD· 1 shared Florentine van Nouhuijs· 1 shared Frank T. Bayliss· 1 shared Kenneth RathiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperScientific Communication & Education

Alan R. PeterfreundORCID

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2 papers

Recent·Most cited

Scientific Communication & EducationPLoS ONEPeer-reviewedFeb 2, 2026

Undergraduate GPA does not predict success in PhD programs for cohorts of MS students at two minority-serving institutions

Megumi Fusé, Kenneth Rath, Blake Riggs…·Frank T. Bayliss

This study finds that undergraduate GPA does not predict PhD success for MS students at two minority-serving institutions, highlighting the need for holistic admissions and structured training programs.

DOI 10.1371/journal.pone.0330005

benchmark study

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Scientific Communication & EducationbioRxivPreprintDec 19, 2023

Using a decision tree to predict COVID case numbers: a tutorial for beginners

Lucy Moctezuma, Lorena Benitez Rivera, Florentine van Nouhuijs…·Pleuni Simone Pennings

This paper develops an educational module using decision trees to predict COVID case numbers, aimed at teaching machine learning basics to biology students.

DOI 10.1101/2023.12.19.572463

machine learning (classical)software / tool

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