Author

P. Bonizzoni

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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Approach:deep learning· 2 Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

G. Della Vedova· 2 shared M. Patterson· 2 shared S. Ciccolella· 2 shared I. Hajirasouliha· 1 shared M. Soto Gomez· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersCancer Biology

G. Della Vedova

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2 papers

Recent·Most cited

Effective clustering for single cell sequencing cancer data

S. Ciccolella, M. Patterson, P. Bonizzoni, G. Della Vedova

This paper introduces a clustering method for single-cell sequencing cancer data, improving runtime and scalability while maintaining accuracy in phylogenetic inference.

bioRxiv · May 14, 2021Cancer Biology

gpps: An ILP-based approach for inferring cancer progression with mutation losses from single cell data

S. Ciccolella, M. Soto Gomez, M. Patterson, G. Della Vedova, I. Hajirasouliha, P. Bonizzoni

gpps infers cancer progression from single-cell data by allowing mutation losses, improving upon traditional methods that assume mutations are irreversible.

bioRxiv · Sep 4, 2018Cancer Biology