Author

Kelsie A. Little

Monell Chemical Senses CenterORCID 0009-0001-3455-0217Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:graph neural network· 1 Approach:statistical model· 1

Frequent Co-Authors

Emily J. MayhewiD· 2 shared Joel D. MainlandiD· 2 shared Richard C. GerkiniD· 2 shared Alexander B. WiltschkoiD· 1 shared Benjamín Sánchez-LengelingiD· 1 shared Brian K. LeeiD· 1 shared Brian LeeiD· 1 shared Britney B. Nguyen· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Emily J. MayhewORCID

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2 papers

Recent·Most cited

NeuroscienceSciencePeer-reviewedSep 1, 2023

A Principal Odor Map Unifies Diverse Tasks in Human Olfactory Perception

Brian Lee, Emily J. Mayhew, Benjamín Sánchez-Lengeling…·Alexander B. Wiltschko

The paper develops a Principal Odor Map using graph neural networks that matches human-level odor description performance and generalizes to diverse odor prediction tasks.

243 citationstop 1%

graph neural network

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NeuroscienceProceedings of the National Academy of SciencesPeer-reviewedApr 4, 2022

Drawing the Borders of Olfactory Space

Emily J. Mayhew, Charles J. Arayata, Richard C. Gerkin…·Joel D. Mainland

The paper develops a model to predict odorous molecules based on chemical properties and estimates the number of possible odorous compounds to be over 30 billion.

67 citationstop 2%

statistical model

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