Author

Nick Machnik

Institute of Science and Technology AustriaORCID 0000-0001-6617-9742Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Ilse KrätschmeriD· 2 shared Małgorzata BorczykiD· 2 shared Matthew R. RobinsoniD· 2 shared Bartosz Baszkiewicz· 1 shared Elizabeth Ing‐SimmonsiD· 1 shared Jacek HajtoiD· 1 shared Juan M. VaquerizasiD· 1 shared Mahdi MahmoudiiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersGenetics

Ilse KrätschmerORCID

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3 papers

Recent·Most cited

GeneticsNature CommunicationsPeer-reviewedAug 25, 2026

Causal inference for multiple risk factors and diseases from genomics data

Nick Machnik, Mahdi Mahmoudi, Małgorzata Borczyk…·Matthew R. Robinson

The paper introduces CI-GWAS, a method to improve causal inference in GWAS by addressing confounding and pleiotropy, finding few suitable IVs and replicating some but not all previously reported causal links.

1 citation

humanGWAS summary statistics

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Genetic & Genomic MedicinemedRxivPreprintApr 29, 2025

Separating the genetics of disease, treatment and treatment response using graphical modeling and large-scale electronic health records.

Małgorzata Borczyk, Nick Machnik, Jacek Hajto…·Matthew R. Robinson

The paper uses graphical modeling on electronic health records to separate genetic effects on disease, treatment, and treatment response in large-scale biobank data.

DOI 10.1101/2025.04.29.25326633

humanelectronic health records

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GenomicsbioRxivPreprintOct 18, 2021

SSIM can robustly identify changes in 3D genome conformation maps

Elizabeth Ing‐Simmons, Nick Machnik, Juan M. Vaquerizas

The paper confirms that SSIM depends on Hi-C matrix properties and provides improved methods for identifying differential 3D genome conformation.

1 citation

Hi-Cstatistical model

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