Author

Giuseppe Valentino Masucci

Karolinska University HospitalORCID 0000-0002-9583-2306Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Felipe A. SimãoiD· 1 shared Gabriele MadonnaiD· 1 shared Jane A. PulmaniD· 1 shared Paolo A. AsciertoiD· 1 shared Reija HietaiD· 1 shared Rolf LewensohniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Felipe A. SimãoORCID

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1 paper

Recent·Most cited

SRF-CLICAL: an approach for patient risk stratification using random forest models

Felipe A. Simão, Reija Hieta, Jane A. Pulman, Gabriele Madonna, Paolo A. Ascierto, Rolf Lewensohn, Giuseppe Valentino Masucci

SRF-CLICAL uses random forest models to stratify cancer patients into risk groups based on clinical data, demonstrating its effectiveness on two patient cohorts.

bioRxiv · Jun 22, 2021 · PreprintBioinformatics