Author

Nadia Dahmane

Weill Cornell MedicineORCID 0000-0002-7525-5396Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Jeffrey Peter GreenfieldiD· 2 shared Adam C. ResnickiD· 1 shared Andrin Wacker· 1 shared Bo ZhangiD· 1 shared Daniel P. MilleriD· 1 shared Daniela VirgintinoiD· 1 shared Dorothee GramatzkiiD· 1 shared Ennio Antonio ChioccaiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenomics

Jeffrey Peter GreenfieldORCID

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2 papers

Recent·Most cited

Machine learning-predicted chromatin organization landscape across pediatric tumors

Ketrin Gjoni, Shu Zhang, Rachel Yan, Bo Zhang, Daniel P. Miller, Jeffrey Peter Greenfield, Adam C. Resnick, Nadia Dahmane, Katherine S. Pollard

The paper uses a convolutional neural network to predict chromatin organization disruptions caused by somatic structural variants in pediatric tumors, identifying high-impact SVs and regions associated with cancer.

Scientific Reports · Mar 28, 2026Peer-reviewedGenomics

Onco-fetal protein Nogo-A restricts human and mouse glioma vascularization and growth via VEGF-Notch-hippo-metabolic signaling

Marc Schwab, Moheb Ghobrial, Jorge L. Jimenez-Macias, Michał Beffinger, Yanrong Ji, Andrin Wacker, Hidekiyo Harada, Jau-Ye Shiu, Oskar Novitzki, Ignazio de Trizio, Francesco Girolamo, Mariella Errede, Tobias Weiß, Dorothee Gramatzki, Miguel Maurer, , Thomas Wälchli

This study identifies Nogo-A as an onco-fetal protein that inhibits glioma vascularization and growth through VEGF-Notch-Hippo-metabolic signaling in human and mouse models.

bioRxiv · Oct 2, 2024 · PreprintNeuroscience