Author

Varut Vardhanabhuti

University of Hong KongORCID 0000-0001-6677-3194Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anne W.M. LeeiD· 1 shared Herbert PangiD· 1 shared Jose Angelo Udal PeruchoiD· 1 shared Kang K. YaniD· 1 shared Lee Wei LimiD· 1 shared Richard DuiD· 1 shared Shauhrat Singh ChopraiD· 1 shared Shawn Zheng Kai TaniD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Anne W.M. LeeORCID

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2 papers

Recent·Most cited

NeuroscienceFrontiers in Aging NeurosciencePeer-reviewedSep 14, 2020

Dropout in Neural Networks Simulates theParadoxical Effects of Deep Brain Stimulation onMemory

Shawn Zheng Kai Tan, Richard Du, Jose Angelo Udal Perucho…·Lee Wei Lim

This paper shows that dropout in neural networks simulates the paradoxical effects of deep brain stimulation on memory by mimicking disruption and enhancement through training and testing phases.

17 citations

statistical modelmachine learning (classical)

𝕏 PostBluesky

BioinformaticsComputers in Biology and MedicinePeer-reviewedAug 6, 2020

Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-censored Survival Data

Kang K. Yan, Xiaofei Wang, Wwt Lam…·Herbert Pang

This paper introduces a machine learning method for analyzing radiomics data with right-censored survival outcomes, showing it outperforms existing methods in identifying prognostic markers.

15 citations

imagingstatistical model

𝕏 PostBluesky