Author

Mirela Andronescu

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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Genomics· 2 Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Approach:Bayesian inference· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Daniel LaiiD· 4 shared Farhia KabeeriD· 4 shared Samuel A. J. R. AparicioiD· 4 shared Beixi WangiD· 3 shared Sohrab P. ShahiD· 3 shared Andrew J. L. RothiD· 2 shared Ciara H. O’FlanaganiD· 2 shared Elena ZaikovaiD· 2 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenomics

Daniel LaiORCID

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4 papers

Recent·Most cited

Chromosomal mutational signatures of DNA damaging agents at single cell resolution

Mirela Andronescu, Alexander Adrian-Hamazaki, Damian Yap, William Daniels, Armaghan Sarvar, Elena Zaikova, Benjamin Furman, Vinci Au, Amelia Richter, Michael Van Vliet, Caroline Baril, Beixi Wang, Sean Beatty, Farhia Kabeer, Ciara H. O’Flanagan, , Samuel A. J. R. Aparicio

This paper develops a framework to analyze chromosomal mutational patterns at single-cell resolution, revealing drug-induced mutational signatures in human tissues.

bioRxiv · Sep 7, 2026 · PreprintCancer Biology

Single cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancers

Farhia Kabeer, Hoa Tran, Mirela Andronescu, Gurdeep Singh, Hakwoo Lee, Sohrab Salehi, Beixi Wang, Justina Biele, Jazmine Brimhall, David Gee, Viviana Cerda, Ciara H. O’Flanagan, Teresa Ruiz de Algara, Takako Kono, Sean Beatty, , Samuel A. J. R. Aparicio

The paper identifies genomic and non-genomic contributions to drug resistance in triple negative breast cancer using single cell transcriptomics and copy number data.

Genome biology · Jul 18, 2024Peer-reviewedGenomics

Cancer phylogenetic tree inference at scale from 1000s of single cell genomes

Sohrab Salehi, Fatemeh Dorri, Kevin Chern, Farhia Kabeer, Nicole Rusk, Tyler Funnell, Marc J. Williams, Daniel Lai, Mirela Andronescu, Kieran R. Campbell, Andrew McPherson, Samuel A. J. R. Aparicio, Andrew J. L. Roth, Sohrab P. Shah, Alexandre Bouchard‐Côté

The paper introduces a scalable Bayesian method for phylogenetic tree inference from single-cell whole genome sequencing data, demonstrating its application on three datasets.

Peer Community Journal · Jul 21, 2023Peer-reviewedBioinformatics

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