Author

Patricia Ye

BC Cancer Agency

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:imputation· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Beixi WangiD· 1 shared Camila P. E. de SouzaiD· 1 shared Daniel LaiiD· 1 shared Edmund SuiD· 1 shared Emma Laks· 1 shared Farhia KabeeriD· 1 shared Jazmine BrimhalliD· 1 shared Justina BieleiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Beixi WangORCID

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2 papers

Recent·Most cited

Tree-structured topic modelling of single-cell gene expression data uncovers hierarchical relationships between immune cell types

Patricia Ye, Yichen Zhang, Ramon I. Klein Geltink, Yongjin Park

LaRCH, a tree-structured topic model, improves clustering of single-cell RNA-seq data and reveals transcriptomic differences in SLE by capturing hierarchical immune cell relationships.

bioRxiv · Nov 6, 2023 · PreprintBioinformatics

Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data

Camila P. E. de Souza, Mirela Andronescu, Tehmina Masud, Farhia Kabeer, Justina Biele, Emma Laks, Daniel Lai, Patricia Ye, Jazmine Brimhall, Beixi Wang, Edmund Su, Tony Hui, Qi Cao, Marcus Wong, Michelle Moksa, , Sohrab P. Shah

Epiclomal clusters sparse single-cell DNA methylation data and imputes missing values, outperforming non-probabilistic methods and revealing sub-clonal methylation patterns in tumour genomes.

PLoS Computational Biology · Sep 23, 2020Peer-reviewedGenomics