Author

Becca Bonham-Carter

University of British ColumbiaORCID 0000-0003-0163-4673Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:trajectory inference· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Geoffrey R. SchiebingeriD· 2 shared Aden ForrowiD· 1 shared Carla ZimmermaniD· 1 shared David J. H. F. KnappiD· 1 shared Elizabeth L. Castle· 1 shared Jing-Qi ZhangiD· 1 shared John M. EdgariD· 1 shared Laura GreenstreetiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersImmunology

Geoffrey R. SchiebingerORCID

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2 papers

Recent·Most cited

ImmunologyCell SystemsPeer-reviewedNov 29, 2024

Time- and lineage-resolved transcriptional profiling uncovers gene expression programs and clonal relationships that underlie human T lineage specification

Yale S. Michaels, Matthew C. Major, Becca Bonham-Carter…·Peter W. Zandstra

This study uses time-resolved single-cell RNA sequencing to uncover gene expression programs and clonal relationships during human T lineage specification.

11 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedAug 1, 2024

Cellular proliferation biases clonal lineage tracing and trajectory inference

Becca Bonham-Carter, Geoffrey R. Schiebinger

The paper identifies a statistical bias in lineage tracing and trajectory inference due to cell proliferation rates and shows how to improve trajectory inference methods to account for this bias.

3 citations

scRNA-seqstatistical model

𝕏 PostBluesky