Author

Andreas W. Kempa-Liehr

University of AucklandORCID 0000-0001-5558-0573Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Antony A. CooperiD· 1 shared Daniel HoiD· 1 shared Justin Martin O'SullivaniD· 1 shared Kevin Lee· 1 shared Lachlan D BarnesiD· 1 shared Luke E. HallumiD· 1 shared Sophie L. FarrowiD· 1 shared William S. SchierdingiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Antony A. CooperORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineFrontiers in GeneticsPeer-reviewedJan 3, 2022

Machine learning identifies six genetic variants and alterations in the Heart Atrial Appendage as key contributors to PD risk predictivity.

Daniel Ho, William S. Schierding, Sophie L. Farrow…·Justin Martin O'Sullivan

The paper uses machine learning to identify six genetic variants and tissue-specific eQTL effects linked to Parkinson's disease risk.

12 citations

humanGWAS summary statistics

𝕏 PostBluesky

NeurosciencebioRxivPreprintApr 11, 2021

Detection of sleep apnea from single-channel electroencephalogram (EEG) using an explainable convolutional neural network

Lachlan D Barnes, Kevin Lee, Andreas W. Kempa-Liehr, Luke E. Hallum

This paper develops an explainable CNN to detect sleep apnea from single-channel EEG with 76.7% accuracy and 0.54 MCC, showing it learns delta and beta band biomarkers.

4 citations

electronic health recordsmachine learning (classical)

𝕏 PostBluesky