Author

E. Moretti

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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Cancer Biology· 1 Cell Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Chuang· 1 shared A. Hanel· 1 shared A. Meyer-Berhorn· 1 shared A. Nardone· 1 shared B. Kurkowsky· 1 shared C. Biagioni· 1 shared D. Romagnoli· 1 shared D. Stappert· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperEcology

A. Chuang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Sensitive tumor detection, accurate quantification, and cancer subtype classification using low-pass whole methylome sequencing of plasma DNA

M. Paoli, F. Galardi, A. Nardone, C. Biagioni, D. Romagnoli, S. Di Donato, G. M. Franceschini, L. Livraghi, M. Pestrin, G. Sanna, E. Risi, I. Migliaccio, E. Moretti, L. Malorni, L. Biganzoli, , M. Benelli

This paper introduces METER, a computational tool that enables sensitive tumor detection, accurate quantification, and cancer subtype classification using low-pass whole methylome sequencing of plasma DNA.

bioRxiv · Jun 10, 2024 · PreprintCancer Biology

Gain efficiency with streamlined and automated data processing: Examples from high-throughput monoclonal antibody production

M. Kotowicz, S. Fengler, B. Kurkowsky, A. Meyer-Berhorn, E. Moretti, J. Blersch, M. Shumanska, G. Schmidt, J. Kreye, S. van Hoof, E. Sanchez-Sendin, M. Reincke, L. Krueger, H. Pruess, P. Denner, , D. Stappert

The paper presents a modular data processing pipeline to streamline and automate data management in complex biological workflows, enhancing reproducibility and compliance with FAIR principles.

bioRxiv · Dec 14, 2023Cell Biology

Meta-analysis of herbicide non-target effects on pest natural enemies

G. Zilnik, P. E. Bergeron, A. Chuang, L. Diepenbrock, A. Hanel, E. Middleton, E. Moretti, R. Schmidt-Jeffris

This study uses meta-analysis to assess herbicide non-target effects on natural enemies, finding herbicides increase mortality and reduce longevity and predation, with some herbicides being more harmful than glyphosate.

bioRxiv · Aug 1, 2023 · PreprintEcology