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Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data
View ORCID ProfileCamila P.E. de Souza, Mirela Andronescu, Tehmina Masud, Farhia Kabeer, Justina Biele, Emma Laks, Daniel Lai, Jazmine Brimhall, Beixi Wang, Edmund Su, Tony Hui, Qi Cao, Marcus Wong, Michelle Moksa, Richard A. Moore, Martin Hirst, Samuel Aparicio, Sorab P. Shah
doi: https://doi.org/10.1101/414482
Camila P.E. de Souza
1Department of Statistical and Actuarial Sciences, University of Western Ontario, London, ON, Canada
Mirela Andronescu
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
Tehmina Masud
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
Farhia Kabeer
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
7Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
Justina Biele
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
Emma Laks
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
3Genome Science and Technology Graduate Program, University of British Columbia, Vancouver, BC, Canada
Daniel Lai
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
Jazmine Brimhall
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
Beixi Wang
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
Edmund Su
4Department of Microbiology and Immunology and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
5Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
Tony Hui
4Department of Microbiology and Immunology and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
5Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
Qi Cao
4Department of Microbiology and Immunology and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
5Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
Marcus Wong
4Department of Microbiology and Immunology and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
Michelle Moksa
4Department of Microbiology and Immunology and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
Richard A. Moore
6Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
Martin Hirst
4Department of Microbiology and Immunology and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
5Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
Samuel Aparicio
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
7Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
Sorab P. Shah
2Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
7Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
8Dept of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Posted September 12, 2018.
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, Jazmine Brimhall, Beixi Wang, Edmund Su, Tony Hui, Qi Cao, Marcus Wong, Michelle Moksa, Richard A. Moore, Martin Hirst, Samuel Aparicio, Sorab P. Shah
bioRxiv 414482; doi: https://doi.org/10.1101/414482
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, Jazmine Brimhall, Beixi Wang, Edmund Su, Tony Hui, Qi Cao, Marcus Wong, Michelle Moksa, Richard A. Moore, Martin Hirst, Samuel Aparicio, Sorab P. Shah
bioRxiv 414482; doi: https://doi.org/10.1101/414482
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