Author

Cecília B. Cavazzoni

Brigham and Women's HospitalORCID 0000-0003-2113-6620Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

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Alos DialloiD· 1 shared Jiaoyuan Elisabeth SuniD· 1 shared Peter T. SageiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Alos DialloORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 29, 2021

Integration of Diverse Transcriptomics Datasets using Random Forest to Predict Universal Functional Pathways in Tfr Cells

Alos Diallo, Cecília B. Cavazzoni, Jiaoyuan Elisabeth Sun, Peter T. Sage

This paper develops a core Tfr cell gene module using random forest to predict functional pathways, available for GSEA analysis across diverse datasets.

DOI 10.1101/2021.11.29.470410

humanbulk RNA-seq

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