Author

G. Moffa

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· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Organism:human· 2 Approach:statistical model· 2 Assay:whole-exome sequencing· 2 Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

J. Kuipers· 2 shared N. Beerenwinkel· 2 shared F. Bayer· 1 shared G. Christofori· 1 shared J. Behr· 1 shared K. Morita· 1 shared K. Takahashi· 1 shared M. Roncador· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersCancer Biology

J. Kuipers

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2 papers

Recent·Most cited

Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies

F. Bayer, M. Roncador, G. Moffa, K. Morita, K. Takahashi, N. Beerenwinkel, J. Kuipers

The paper identifies novel subgroups in myeloid malignancies using a network-based clustering approach that integrates genomic and clinical features, improving prognostic accuracy.

bioRxiv · Oct 25, 2023Cancer Biology

Mutational interactions define novel cancer subgroups

J. Kuipers, T. Thurnherr, G. Moffa, P. Suter, J. Behr, R. Goosen, G. Christofori, N. Beerenwinkel

This study uses a Bayesian network model to analyze mutational interactions across 8,198 cancer samples, identifying 22 novel clusters that improve survival prediction and suggest drug targets.

bioRxiv · Jul 17, 2018Cancer Biology