Author

Xiaoran Chen

ETH ZurichORCID 0000-0002-8314-4047Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

Lukas RothiD· 2 shared Michele VolpiiD· 2 shared Mike BossiD· 2 shared Paraskevi NousiiD· 2 shared Achim WalteriD· 1 shared Andreas HundiD· 1 shared Beat KelleriD· 1 shared Brenda Patricia Aguirre-CuellariD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenomics

Lukas RothORCID

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2 papers

Recent·Most cited

Characterizing yield through wheat's perception of chronological progression: a multi-omics plant-time warping approach

Lukas Roth, Juan Manuel Herrera, Lilia Levy Häner, Didier Pellet, Dario Fossati, Mike Boss, Xiaoran Chen, Paraskevi Nousi, Michele Volpi

This paper introduces a deep learning model that integrates phenomic, genomic, and environmental data to predict wheat yield across diverse environments, showing improved performance over traditional genomic models.

Journal of Experimental Botany · Feb 14, 2026Peer-reviewedGenomics

The FIP 1.0 Data Set: Highly Resolved Annotated Image Time Series of 4,000 Wheat Plots Grown in Six Years

Lukas Roth, Mike Boss, Norbert Kirchgeßner, Helge Aasen, Brenda Patricia Aguirre-Cuellar, Price Pius Atuah Akiina, Jonas Anderegg, Joaquin Gajardo, Xiaoran Chen, Simon Corrado, Krzysztof Cybulski, Beat Keller, Stefan Göbel Kortstee, Lukas Kronenberg, Frank Liebisch, , Achim Walter

The paper introduces a large-scale wheat phenotyping dataset with time series imaging and trait data across six years, enabling studies on genotype-environment interactions and crop modeling.

GigaScience · Jan 1, 2025Peer-reviewedPlant Biology