Author

V. Gross

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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Microbiology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Kreshuk· 1 shared A. W. Kuss· 1 shared C. Jensen· 1 shared C. Pape· 1 shared G. Batt· 1 shared I. El Meouche· 1 shared J. Hennies· 1 shared J. M. S. Lleti· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCell Biology

A. Kreshuk

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

CebraEM: A practical workflow to segmentcellular organelles in volume SEM datasetsusing a transferable CNN-based membraneprediction

J. Hennies, J. M. S. Lleti, C. Pape, S. Bekbayev, V. Gross, A. Kreshuk, Y. Schwab

CebraEM provides a workflow for segmenting cellular organelles in volume SEM datasets using a transferable CNN-based membrane prediction, achieving state-of-the-art results with minimal post-processing.

bioRxiv · Apr 6, 2023 · PreprintCell Biology

Transcriptional dynamics of methane-cycling microbiomes are linked to seasonal CH4 fluxes in two hydromorphic and organic-rich grassland soils

J. Taeumer, S. Marhan, V. Gross, C. Jensen, A. W. Kuss, S. Kolb, T. Urich

The paper links methane-cycling microbiome transcriptional dynamics to seasonal CH4 fluxes in two grassland soils using quantitative metatranscriptomics.

bioRxiv · Sep 24, 2021 · PreprintMicrobiology

A quantitative approach to easily characterize and predict cell death and escape to β-lactam treatments

V. Andreani, V. Gross, L. You, P. Glaser, I. El Meouche, G. Batt

The paper develops a mathematical model to predict bacterial response to β-lactam antibiotics by integrating cellular heterogeneity and filamentation, showing it can reconcile growth and CFU data for ESBL-producing E. coli.

bioRxiv · Jul 16, 2021 · PreprintMicrobiology