Author

Michael Schantz Klausen

Novo Nordisk FoundationORCID 0000-0003-2225-5701Unclaimed ORCID profile · follow to get notified of new preprints

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Michael Schantz Klausen1 paper

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Bent PeterseniD· 1 shared Casper Kaae Sønderby· 1 shared Gabriel RenaudiD· 1 shared Henrik NielseniD· 1 shared Kamilla Kjærgaard Jensen· 1 shared Martin Closter Jespersen· 1 shared Morten NielseniD· 1 shared Morten Otto Alexander SommeriD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

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10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Bent PetersenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 28, 2022

Benchmarking freely available human leukocyte antigen typing algorithms across varying genes, coverages and typing resolutions

Nikolas Hallberg Thuesen, Michael Schantz Klausen, Shyam Gopalakrishnan…·Gabriel Renaud

This study benchmarks five HLA typing tools across different genes, coverages, and resolutions, finding HLA*LA has highest accuracy for some loci while Optitype performs best for others.

1 citation

humanwhole-exome sequencing

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BioinformaticsProteins Structure Function and BioinformaticsPeer-reviewedFeb 20, 2019

NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning

Michael Schantz Klausen, Martin Closter Jespersen, Henrik Nielsen…·Paolo Marcatili

NetSurfP-2.0 improves prediction of protein structural features with higher accuracy and faster runtime than previous versions.

574 citationstop 1%

protein sequencedeep learning

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