Author

Andreas W. Schmidt

Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Tuebingen, Germany.;ORCID 0000-0001-5609-290XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Helmut LaumeniD· 1 shared Jonas RosendahliD· 1 shared Stephan OssowskiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Helmut LaumenORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 3, 2026

Unsupervised prioritization of gene-regulatory variants with isolation forests

Andreas W. Schmidt, Jonas Rosendahl, Helmut Laumen, Stephan Ossowski

The paper introduces eQIF, an unsupervised machine-learning method that integrates Enformer predictions to prioritize gene-regulatory variants, showing strong performance in predicting eQTLs and GWAS variants.

DOI 10.64898/2026.10.29.762447

humanDNA methylation

𝕏 PostBluesky