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Niko Beerenwinkel

ETH Zurich · CH
Area of research
Molecular Biology · Cancer Research
Research interest
Research interests include Cancer Genomics and Diagnostics, Single-cell and spatial transcriptomics, HIV Research and Treatment, and Evolution and Genetic Dynamics.
h-index
70
citations
23,803
works
498
NIH funding
primary concept
Biology
email

Recent publications

<tt> <b>mhn</b> </tt> : a Python package for analyzing cancer progression with Mutual Hazard Networks
Bioinformatics Advances 2025cited by 1position: middledoi
Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia
Nature Communications 2024cited by 23position: middledoi
Modeling metastatic progression from cross-sectional cancer genomics data
Bioinformatics 2024cited by 5position: middledoi
Optimal timing of a colonoscopy screening schedule depends on adenoma detection, adenoma risk, adherence to screening and the screening objective: A microsimulation study
PLoS ONE 2024cited by 3position: middledoi
Overcoming Observation Bias for Cancer Progression Modeling
Lecture notes in computer science 2024cited by 3position: lastdoi
Correcting for Observation Bias in Cancer Progression Modeling
Journal of Computational Biology 2024cited by 1position: lastdoi
Modeling metastatic progression from cross-sectional cancer genomics data
bioRxiv (Cold Spring Harbor Laboratory) 2024cited by 0position: middledoi
COMPASS: joint copy number and mutation phylogeny reconstruction from amplicon single-cell sequencing data
Nature Communications 2023cited by 34position: middledoi
Overcoming Observation Bias for Cancer Progression Modeling
bioRxiv (Cold Spring Harbor Laboratory) 2023cited by 1position: lastdoi
Abstract A49: Characterizing the order of mutation acquisition in acute myeloid leukemia using large-scale single-cell sequencing
Blood Cancer Discovery 2023cited by 0position: middledoi
Unlocking capacities of genomics for the COVID-19 response and future pandemics
Nature Methods 2022cited by 67position: middledoi
Joint copy number and mutation phylogeny reconstruction from single-cell amplicon sequencing data
bioRxiv (Cold Spring Harbor Laboratory) 2022cited by 7position: middledoi
Spatial structure governs the mode of tumour evolution
Nature Ecology & Evolution 2021cited by 116position: lastdoi
Evaluating key characteristics of ideal colorectal cancer screening modalities: the microsimulation approach
Gastrointestinal Endoscopy 2021cited by 28position: middledoi
Eleven grand challenges in single-cell data science
Genome biology 2020cited by 1,402position: middledoi
Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics
Nature Communications 2020cited by 377position: middledoi
LifeTime and improving European healthcare through cell-based interceptive medicine
Nature 2020cited by 169position: middledoi
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research
Briefings in Bioinformatics 2020cited by 148position: middledoi
Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation
PLoS Computational Biology 2020cited by 21position: lastdoi
The International Virus Bioinformatics Meeting 2020
Viruses 2020cited by 4position: middledoi
Neutrophils escort circulating tumour cells to enable cell cycle progression
Nature 2019cited by 1,232position: middledoi
Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART
Nature Communications 2019cited by 186position: middledoi
Spatial structure governs the mode of tumour evolution
bioRxiv (Cold Spring Harbor Laboratory) 2019cited by 45position: lastdoi
12 Grand Challenges in Single-Cell Data Science
2019cited by 7position: middledoi
12 Grand challenges in single-cell data science
2019cited by 5position: middledoi
12 Grand challenges in single-cell data science
2019cited by 2position: middledoi
12 Grand Challenges in Single-Cell Data Science
2019cited by 1position: middledoi
Microbiome interactions shape host fitness
Proceedings of the National Academy of Sciences 2018cited by 614position: middledoi
From hype to reality: data science enabling personalized medicine
BMC Medicine 2018cited by 441position: middledoi
A Stochastic Model of Metastatic Bottleneck Predicts Patient Outcome and Therapy Response
bioRxiv (Cold Spring Harbor Laboratory) 2018cited by 0position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Rainer Spang · University of Regensburg7 papers (2018–2025)Kevin Rupp · University of Regensburg6 papers (2023–2025)Rudolf Schill · University of Regensburg6 papers (2023–2025)Y. Linda Hu · University of Regensburg6 papers (2023–2025) · 6 papers (2023–2025) · 5 papers (2023–2024)Stefan Vocht · University of Regensburg4 papers (2023–2025)Andreas Lösch · University of Bern4 papers (2023–2025)Jack Kuipers · ETH Zurich3 papers (2022–2023)Benjamin Misselwitz · LMU Klinikum3 papers (2016–2024)Katharina Jahn · SIB Swiss Institute of Bioinformatics3 papers (2022–2023)Tilo Wettig · University of Regensburg3 papers (2024–2025)Koichi Takahashi · The University of Texas MD Anderson Cancer Center2 papers (2022–2023)Jan Poleszczuk · Tufts University2 papers (2021–2024)Chenyi Nie · University of California System2 papers (2024–2024)Holger Fröhlich · Fraunhofer Institute for Algorithms and Scientific Computing2 papers (2017–2018) · 2 papers (2021–2024) · 2 papers (2019–2021)Jakob Nikolas Kather · Ludwig-Maximilians-Universität München2 papers (2019–2021)Etienne Sollier · German Cancer Research Center2 papers (2022–2023)