Author

Nikola S. Mueller

Helmholtz Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Systems Biology· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2

Frequent Co-Authors

Fabian Joachim TheisiD· 4 shared Gökçen EraslaniD· 2 shared Janine ArlothiD· 2 shared Marcella RietscheliD· 2 shared Amnah OthmaniD· 1 shared Anna C. KolleriD· 1 shared Anna Sophie FröhlichiD· 1 shared Annalisa MarsicoiD· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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4 shared papersSystems Biology

Fabian Joachim TheisORCID

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Author profile →

5 papers

Recent·Most cited

Variant-risk-exon interplay impacts circadian rhythm and dopamine signaling pathway in severe psychiatric disorders

Karolina Worf, Natalie Matosin, Nathalie Gerstner, Anna Sophie Fröhlich, Anna C. Koller, Franziska Degenhardt, Hölger Thiele, Marcella Rietschel, Madhara Udawela, Elizabeth Scarr, Brian Dean, Fabian Joachim Theis, Janine Arloth, Nikola S. Mueller

The paper examines how genetic variants affect gene expression in cortical neurons, identifying pathways linked to psychiatric disorders.

medRxiv · Aug 9, 2022 · PreprintGenetic & Genomic Medicine

Repeated toxic injuries of murine liver are tolerated through microsteatosis and mild inflammation

Seddik Hammad, Christoph Ogris, Amnah Othman, Pia Erdoesi, Wolfgang Schmidt‐Heck, Ina Biermayer, Barbara Helm, Yan Lin Gao, Weronika Piorońska, Lorenza A. D’Alessandro, Fabian Joachim Theis, Matthias P. Ebert, Ursula Klingmüller, Jan Georg Hengstler, Steven Dooley, Nikola S. Mueller

This study identifies microsteatosis and mild inflammation as key features of liver tolerance to repeated toxic injuries, using a mouse model and multi-omics analysis.

bioRxiv · Jan 12, 2022 · PreprintSystems Biology

Computational Mapping of the Human-SARS-CoV-2 Protein-RNA Interactome

Marc Horlacher, Svitlana Oleshko, Yue Hu, Mahsa Ghanbari, Giulia Cantini, Patrick Schinke, Ernesto Elorduy Vergara, Florian Bittner, Nikola S. Mueller, Uwe Ohler, Lambert Moyon, Annalisa Marsico

The paper maps human RBP-viral RNA interactions for SARS-CoV-2 and related coronaviruses using deep learning, identifies variant impacts, and links RBPs to potential biomarkers.

bioRxiv · Dec 22, 2021 · PreprintBioinformatics

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

Janine Arloth, Gökçen Eraslan, Till F. M. Andlauer, Jade Martins, Stella Iurato, Brigitte Kühnel, Mélanie Waldenberger, Josef Frank, Ralf Gold, Bernhard Hemmer, Felix Luessi, Sandra Nischwitz, Friedemann Paul, Heinz Wiendl, Christian Gieger, , Nikola S. Mueller

DeepWAS integrates regulatory effect predictions of variants into GWAS to identify regulatory SNPs associated with diseases and traits.

PLoS Computational Biology · Feb 3, 2020Peer-reviewedSystems Biology

Single cell RNA-seq denoising using a deep count autoencoder

Gökçen Eraslan, Lukas Mikolaj Simon, Maria Mircea, Nikola S. Mueller, Fabian Joachim Theis

This paper introduces a deep count autoencoder (DCA) for denoising scRNA-seq data, showing it improves analysis quality and speed compared to existing methods.

Nature Communications · Jan 23, 2019Peer-reviewedBioinformatics