Author

Melvyn Yap

ORCID 0000-0003-2276-2877Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:human· 1

Frequent Co-Authors

Fred RoostaiD· 1 shared Helena FoleyiD· 1 shared John V. PearsoniD· 1 shared Kaiah Steven· 1 shared Lambros T. KoufariotisiD· 1 shared Maciej TrzaskowskiiD· 1 shared Nicola WaddelliD· 1 shared Olga KondrashovaiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Fred RoostaORCID

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1 paper

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedMay 6, 2023

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

Samual MacDonald, Helena Foley, Melvyn Yap…·Maciej Trzaskowski

This paper benchmarks Bayesian deep learning models for predicting cancer of unknown primary, showing improved uncertainty generalisation and accuracy under distributional shifts.

12 citations

humanbulk RNA-seq

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