Author

Dana Silverbush

Broad InstituteORCID 0000-0001-7499-0092Unclaimed ORCID profile · follow to get notified of new preprints

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Dana Silverbush1 paper

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Alice Senta RybaiD· 1 shared Alicia BuckiD· 1 shared Amanda Salviano‐SilvaiD· 1 shared Annika K. WefersiD· 1 shared Benedikt WiestleriD· 1 shared Berend SnijderiD· 1 shared Camir RickettsiD· 1 shared Cécile L. MaireiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Alice Senta RybaORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 4, 2023

Epigenetic neural glioblastoma enhances synaptic integration and predicts therapeutic vulnerability

Richard Drexler, Robin Khatri, Thomas Sauvigny…·Franz Lennard Ricklefs

The paper identifies an epigenetic neural signature in glioblastoma that correlates with poor prognosis and therapeutic vulnerability.

10 citations

humanDNA methylation

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedAug 11, 2020

Inferring Cancer Progression from Single-cell Sequencing while Allowing Mutation Losses

Simone Ciccolella, Camir Ricketts, Mauricio Soto…·Gianluca Della Vedova

The paper introduces SASC, a method for inferring cancer progression from single-cell sequencing data that allows mutation losses, showing high accuracy on simulated and real datasets.

49 citations

scRNA-seqstatistical model

𝕏 PostBluesky