Author

Sandra Hui

University of California, BerkeleyORCID 0000-0002-3534-6998Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Rasmus NielseniD· 2 shared

Activity by Year

2022-2022 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedAug 19, 2022

SCONCE2: jointly inferring single cell copy number profiles and tumor evolutionary distances

Sandra Hui, Rasmus Nielsen

SCONCE2 jointly infers single cell copy number profiles and tumor evolutionary distances, showing higher accuracy than existing methods in simulations and real data.

2 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedJan 24, 2022

SCONCE: A method for profiling Copy Number Alterations in Cancer Evolution using Single Cell Whole Genome Sequencing

Sandra Hui, Rasmus Nielsen

SCONCE accurately calls copy number alterations in cancer using single cell whole genome sequencing by incorporating tumor evolutionary history and technical noise correction.

18 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky