Author

Torsten Groß

Humboldt-Universität zu Berlin

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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Systems Biology· 3 Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Research Focus:gene regulatory network inference· 4 Organism:human· 4 Research Focus:differential expression· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Assay:proteomics· 2 Assay:ATAC-seq· 1

Frequent Co-Authors

Nils BlüthgeniD· 4 shared Jake P. Taylor‐KingiD· 2 shared Ainhoa Goñi‐SalaverriiD· 1 shared Anirudh PrahalladiD· 1 shared Anja SieberiD· 1 shared Anna Rosaria de Vito· 1 shared Arantxa GonzáleziD· 1 shared Augustin LunaiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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4 shared papersSystems Biology

Nils BlüthgenORCID

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Author profile →

5 papers

Recent·Most cited

Identification of epigenetic regulators of fibrotic transformation in cardiac fibroblasts through bulk and single-cell CRISPR screens

Laura Pilar Aguado‐Alvaro, Nerea Garitano, Wolfgang Esser‐Skala, Judith R. Sayers, Cynthia del Valle, Daniel Alameda, Julen Mendieta-Esteban, María Eréndira Calleja-Cervantes, Ainhoa Goñi‐Salaverri, Jon Zazpe, Anna Rosaria de Vito, Francesco P. Marchese, Diego Alignani, Juliana Cudini, Torsten Groß, , David Lara‐Astiaso

The paper identifies epigenetic regulators of fibrotic transformation in cardiac fibroblasts using bulk and single-cell CRISPR screens and shows KAT5 inhibition reduces fibrotic responses in human fibroblasts.

Nature Communications · Nov 26, 2025Peer-reviewedCell Biology

scPerturb: Harmonized Single-Cell Perturbation Data

Stefan Peidli, Tessa D. Green, Ciyue Shen, Torsten Groß, Joseph Min, Samuele Garda, Bo Yuan, Linus J. Schumacher, Jake P. Taylor‐King, Debora S. Marks, Augustin Luna, Nils Blüthgen, Chris Sander

The paper harmonizes single-cell perturbation datasets and introduces E-statistics for analyzing perturbation effects across diverse data sources.

Nature Methods · Jan 26, 2024Peer-reviewedSystems Biology

Identifiability and experimental design in perturbation studies

Torsten Groß, Nils Blüthgen

The paper develops a framework to optimize perturbation experiments by identifying minimal perturbation sets that maximize network parameter inferability.

Bioinformatics · Apr 29, 2020Peer-reviewedSystems Biology

Robust network inference using response logic

Torsten Groß, Matthew J. Wongchenko, Yibing Yan, Nils Blüthgen

This paper introduces a network inference method based on response logic that outperforms existing approaches in benchmark challenges and generates plausible network hypotheses from perturbation data.

Bioinformatics · May 9, 2019Peer-reviewedSystems Biology

Modelling Signalling Networks from Perturbation Data

Mathurin Dorel, Bertram Klinger, Torsten Groß, Anja Sieber, Anirudh Prahallad, Evert Bosdriesz, Lodewyk F.A. Wessels, Nils Blüthgen

The paper develops a modified MRA method to model signalling networks from incomplete perturbation data and applies it to study SHP2's role in colon cancer cell lines.

Bioinformatics · Jun 13, 2018Peer-reviewedBioinformatics