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职业迁徙
个人简介
Our interest lies in computational methods to unravel the genotype–phenotype map on a genome-wide scale. How do genetic background and environment jointly shape phenotypic traits or causes diseases? How are genetic and external factors integrated at different molecular layers, and how variable are molecular states between individual cells?
We use statistics and machine learning as our main tool to address these questions. To make accurate inferences from high-dimensional omics datasets, it is essential to account for biological and technical noise and to propagate evidence strength between different steps in the analysis. We develop methods that enable connecting genetic factors to phenotypes and to integrate multiomics data in health and disease.
Our methodological work ties in with biomedical collaborations, and we are developing methods to fully exploit high-throughput datasets from the most recent profiling technologies. In doing so, we derive computational methods to dissect phenotypic variability at the level of the transcriptome and the proteome and we derive new tools for single-cell biology.
We use statistics and machine learning as our main tool to address these questions. To make accurate inferences from high-dimensional omics datasets, it is essential to account for biological and technical noise and to propagate evidence strength between different steps in the analysis. We develop methods that enable connecting genetic factors to phenotypes and to integrate multiomics data in health and disease.
Our methodological work ties in with biomedical collaborations, and we are developing methods to fully exploit high-throughput datasets from the most recent profiling technologies. In doing so, we derive computational methods to dissect phenotypic variability at the level of the transcriptome and the proteome and we derive new tools for single-cell biology.
研究兴趣
论文共 255 篇作者统计合作学者相似作者
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Cancer Discoveryno. 1 (2024): 30-35
Jasper Panten,Tobias Heinen,Christina Ernst,Nils Eling, Rebecca E. Wagner, Maja Satorius,John C. Marioni,Oliver Stegle,Duncan T. Odom
Marc Jan Bonder,Stephen J Clark,Felix Krueger,Siyuan Luo, João Agostinho de Sousa, Aida M Hashtroud,Thomas M Stubbs,Anne-Katrien Stark, Steffen Rulands,Oliver Stegle,Wolf Reik,Ferdinand von Meyenn
Nature communicationsno. 1 (2024): 7567-7567
Stephanie Cheung,Danila Bredikhin,Tobias Gerber,Petrus J. Steenbergen,Soham Basu, Richard Bailleul, Pauline Hansen,Alexandre Paix, Matthew A. Benton,Hendrik C. Korswagen,Detlev Arendt,Oliver Stegle,
crossref(2024)
Brainno. 2 (2024): 554-565
CAUSAL LEARNING AND REASONING, VOL 236 (2024): 209-242
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Marco Breinig,Artem Lomakin,Elyas Heidari,Michael Ritter,Gleb Rukhovich, Lio Böse,Luise Butthof, Lena Wendler-Link,Hendrik Wiethoff,Tanja Poth, Felix Sahm, Peter Schirmacher,
biorxiv(2024)
Luca Marconato,Giovanni Palla,Kevin A. Yamauchi,Isaac Virshup,Elyas Heidari,Tim Treis, Wouter-Michiel Vierdag, Marcella Toth, Sonja Stockhaus, Rahul B. Shrestha, Benjamin Rombaut, Lotte Pollaris,
Antonia Hauth,Jasper Panten, Emma Kneuss,Christel Picard,Nicolas Servant,Isabell Rall,Yuvia A. Pérez-Rico, Lena Clerquin, Nila Servaas,Laura Villacorta,Ferris Jung,Christy Luong,
biorxiv(2024)
Dominik Lindenhofer, Julia R. Bauman, John A. Hawkins,Donnacha Fitzgerald,Umut Yildiz, Jan M. Marttinen, Moritz Kueblbeck,Judith B. Zaugg,Kyung-Min Noh,Sascha Dietrich,Wolfgang Huber,Oliver Stegle,
crossref(2024)
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