Author

Simon Pfahler

University of RegensburgORCID 0009-0001-7364-4005Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:whole-exome sequencing· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Andreas LöschiD· 2 shared Rainer SpangiD· 2 shared Rudolf SchilliD· 2 shared Tilo Wettig BiD· 2 shared Y. Linda HuiD· 2 shared Chenxi NieiD· 1 shared Kevin RuppiD· 1 shared Lars GrasedyckiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Andreas LöschORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 21, 2026

A Scalable Framework for Pan-Cancer Tumor Evolution Analysis Enables Transfer of Progression Mechanisms Across Tumor Entities

Simon Pfahler, Andreas Lösch, Y. Linda Hu…·Tilo Wettig B

fastMHN enables pan-cancer tumor evolution analysis by approximating complex progression models, identifying a progression group linked to STK11 mutations across multiple cancer types.

1 citation

humanwhole-exome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 30, 2024

Modeling metastatic progression from cross-sectional cancer genomics data

Kevin Rupp, Andreas Lösch, Y. Linda Hu…·Rainer Spang

This study introduces metMHN, a model to infer metastatic progression from cross-sectional cancer genomics data, identifying TP53 and EGFR as key mediators and highlighting copy number alterations in post-seeding adaptation.

DOI 10.1101/2024.01.30.577989

humanwhole-exome sequencing

𝕏 PostBluesky