Author

Hannes A. Baukmann

ORCID 0000-0003-3560-6777Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Charles N. J. RavaraniiD· 2 shared Justin L. Cope· 2 shared Marco Florian SchmidtiD· 2 shared Alexander R. E. C. Schwinges· 1 shared Colin BannardiD· 1 shared Erwin P. BöttingeriD· 1 shared Joern E. Klinger· 1 shared Jörn Klinger· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Charles N. J. RavaraniORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineFrontiers in GeneticsPeer-reviewedOct 20, 2021

Interaction-based feature selection algorithm outperforms polygenic risk score in predicting Parkinson's Disease status

Jörn Klinger, Charles N. J. Ravarani, Hannes A. Baukmann…·Marco Florian Schmidt

The paper presents an interaction-based feature selection algorithm that outperforms polygenic risk scores in predicting Parkinson's Disease status using the PPMI dataset.

10 citations

humanwhole-genome sequencing

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Genetic & Genomic MedicinemedRxivPreprintMay 18, 2021

Neutrophils cause critical illness in COVID-19 and reveal CDK6 inhibitors as potential treatment

Hannes A. Baukmann, Justin L. Cope, Charles N. J. Ravarani…·Marco Florian Schmidt

The paper identifies high neutrophil count as a causal trait in severe COVID-19 and suggests CDK6 inhibitors as potential treatment.

2 citations

humanbulk RNA-seq

𝕏 PostBluesky