Author

Rohrer Chiara

ETH ZurichORCID 0009-0001-6987-182XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Approach:variational autoencoder· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Justus F. GräfiD· 2 shared Simon RasmusseniD· 2 shared Arnor Ingi SigurdssoniD· 1 shared Henry Emanuel WebeliD· 1 shared Kirstine RavniD· 1 shared Marc Pielies AvelliiD· 1 shared Ricardo Hernández MedinaiD· 1 shared Torben F. HanseniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Justus F. GräfORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 2, 2025

Unsupervised learning of multi-omics data enables disease risk prediction in the UK Biobank

Rohrer Chiara, Justus F. Gräf, Marc Pielies Avelli…·Simon Rasmussen

The paper applies a variational autoencoder to multi-omics data from the UK Biobank to assess disease risk prediction and the impact of preprocessing on model performance.

DOI 10.1101/2025.10.02.679853

humanGWAS summary statistics

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintMar 5, 2025

EIRsurvival: Deep Learning-based time-to-event analysis on high-dimensional genotype and multi-omics data

Justus F. Gräf, Arnor Ingi Sigurdsson, Rohrer Chiara…·Simon Rasmussen

EIRsurvival predicts time-to-diagnosis using genetic and multi-omics data from large cohorts, achieving C-indices between 0.55 and 0.96.

DOI 10.1101/2025.03.05.25323428

humanwhole-genome sequencing

𝕏 PostBluesky