Author

Liubov Shilova

Friedrich-Alexander-Universität Erlangen-NürnbergORCID 0000-0002-7512-1603Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Research Focus:gene regulatory network inference· 2 Research Focus:variant effect prediction· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Francesco Paolo CasaleiD· 3 shared Daniel Sens· 2 shared Na CaiiD· 2 shared Antonio Nappi· 1 shared Ayellet V. SegrèiD· 1 shared Ayshan Aliyeva· 1 shared Ben AsaniiD· 1 shared Bjoern M. EskofieriD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 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

3 shared papersGenetic & Genomic Medicine

Francesco Paolo CasaleORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintNov 19, 2025

REECAP: Contrastive learning of retinal aging reveals genetic loci linking morphology to eye disease

Liubov Shilova, Daniel Sens, Ayshan Aliyeva…·Francesco Paolo Casale

REECAP uses contrastive learning to link retinal aging patterns with genetic loci associated with eye diseases, identifying 178 loci including 27 linked to age-related eye diseases.

1 citation

humanbulk RNA-seq

𝕏 PostBluesky

GeneticsLecture notes in computer sciencePeer-reviewedJan 1, 2025

Bayesian Aggregation of Multiple Annotations Enhances Rare Variant Association Testing

Antonio Nappi, Lyubov Shilova, Theofanis Karaletsos…·Francesco Paolo Casale

BayesRVAT improves rare variant association testing by integrating multiple annotations, increasing power and detecting novel gene-disease associations in real data.

DOI 10.1007/978-3-031-90252-9_54

humanwhole-exome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 6, 2024

Genetics-driven Risk Predictions with Differentiable Mendelian Randomization

Daniel Sens, Ludwig Gräf, Liubov Shilova, Francesco Paolo Casale

This paper introduces Differentiable Mendelian Randomization (DMR) to predict disease risk using genetic data and risk factors without longitudinal data, validated on type 2 diabetes and Alzheimer's.

DOI 10.1101/2024.03.06.583727

humanGWAS summary statistics

𝕏 PostBluesky