Patricia Goerner-Potvin

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Guillaume BourqueProfessor, Human Genetics, McGill UniversityVerified email at mcgill.ca
Xiaojian SHAONational Research Council CanadaVerified email at nrc-cnrc.gc.ca
Toby Dylan HockingAssociate Professor, Université de SherbrookeVerified email at usherbrooke.ca

Patricia Goerner-Potvin

PhD Candidate, Department of Human Genetics, McGill University

Verified email at mail.mcgill.ca


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Computational tools to unmask transposable elements P Goerner-Potvin, G Bourque Nature Reviews Genetics 19 (11), 688-704, 2018	226	2018
Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning TD Hocking, P Goerner-Potvin, A Morin, X Shao, T Pastinen, G Bourque Bioinformatics 33 (4), 491-499, 2017	38	2017
Visual annotations and a supervised learning approach for evaluating and calibrating ChIP-seq peak detectors TD Hocking, P Goerner-Potvin, A Morin, X Shao, G Bourque arXiv preprint arXiv:1409.6209, 2014	2	2014
Supplementary materials for “Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning” TD Hocking, P Goerner-Potvin, A Morin, X Shao, T Pastinen, G Bourque		2016
Visual annotations and a supervised learning approach for evaluating and calibrating ChIP-seq peak detectors T Dylan Hocking, P Goerner-Potvin, A Morin, X Shao, G Bourque arXiv e-prints, arXiv: 1409.6209, 2014		2014

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