Author

Fiona J. Coutinho

Hospital for Sick Children

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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Cancer Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Peter B. DirksiD· 3 shared Michelle M. KushidaiD· 2 shared Shamini AyyadhuryiD· 2 shared Trevor J. PughiD· 2 shared C.H. ArrowsmithiD· 1 shared Danielle A. Bozek· 1 shared Danielle C. CroucheriD· 1 shared Gary D. BaderiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCancer Biology

Peter B. DirksORCID

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Author profile →

3 papers

Recent·Most cited

Glioblastoma stem cells show transcriptionally correlated spatial organization

Shamini Ayyadhury, Patty Sachamitr, Michelle M. Kushida, Nicole Park, Fiona J. Coutinho, Owen Whitley, Panagiotis Prinos, C.H. Arrowsmith, Peter B. Dirks, Trevor J. Pugh, Gary D. Bader

The paper shows that glioblastoma stem cells form spatial patterns correlated with their transcriptional state, using image analysis to link morphology and gene expression.

Communications Biology · Jan 23, 2026Peer-reviewedCancer Biology

A comparison of data integration methods for single-cell RNA sequencing of cancer samples

Laura M. Richards, Mazdak Riverin, Suluxan Mohanraj, Shamini Ayyadhury, Danielle C. Croucher, J. Javier Díaz-Mejía, Fiona J. Coutinho, Peter B. Dirks, Trevor J. Pugh

This study compares five data integration methods for single-cell RNA sequencing of cancer samples, finding STACAS and fastMNN most effective in correcting batch effects while preserving biological variability.

bioRxiv · Aug 4, 2021 · PreprintBioinformatics

The functional genomic circuitry of human glioblastoma stem cells

Graham MacLeod, Danielle A. Bozek, Nishani Rajakulendran, Vernon Monteiro, Moloud Ahmadi, Zachary Steinhart, Michelle M. Kushida, Helen Yu, Fiona J. Coutinho, Ian Restall, Xiaoguang Hao, Traver Hart, H. Artee Luchman, Samuel Weiss, Peter B. Dirks, Stephane Angers

This study uses CRISPR-Cas9 screens in patient-derived glioblastoma stem cells to identify essential genes and pathways for stemness and drug resistance, revealing new therapeutic targets.

bioRxiv · Jun 28, 2018 · PreprintCancer Biology