Toby Dylan Hocking

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	All	Since 2016
Citations	2064	1204
h-index	15	14
i10-index	19	18

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315

2008200920102011201220132014201520162017201820192020202120 69 105 121 112 140 139 133 114 180 231 250 405 15

Co-authors

Jean-Philippe VertGoogle Brain / Mines ParisTechVerified email at mines-paristech.fr
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Paul FearnheadProfessor of Statistics; Lancaster UniversityVerified email at lancs.ac.uk
Guillaume BourqueProfessor, Human Genetics, McGill UniversityVerified email at mcgill.ca
Jeffrey C. MillerPrincipal Scientist, Sangamo TherapeuticsVerified email at sangamo.com
Yannick DoyonCentre de recherche du CHU de Québec – Université LavalVerified email at crchudequebec.ulaval.ca
George E. KatibahRAPT TheraputicsVerified email at rapt.com
Fyodor UrnovSangamo BiosciencesVerified email at altius.org
Farhoud FarajiUniversity of California San DiegoVerified email at ucsd.edu
Valentina BoevaAssistant Prof., ETH Zürich, Department of Computer ScienceVerified email at inf.ethz.ch
Armand JoulinResearch Scientist, Facebook AI ResearchVerified email at fb.com
Robert MaidstoneOxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of OxfordVerified email at ocdem.ox.ac.uk
Patricia Goerner-PotvinPhD Candidate, Department of Human Genetics, McGill UniversityVerified email at mail.mcgill.ca
Andréanne MorinMcGill UniversityVerified email at mail.mcgill.ca
Xiaojian SHAONational Research Council CanadaVerified email at nrc-cnrc.gc.ca
Takeuchi IchiroProfessor of Computer Science, Nagoya Institute of TechnologyVerified email at nitech.ac.jp
Jean-Louis FoulleyInstitut montpellierain Alexander Grothendieck 34095 Montpellier Cedex 5Verified email at math.cnrs.fr
Najmeh AlirezaieMD, PhDVerified email at mail.mcgill.ca
Jacek MajewskiAssociate Professor of Human Genetics, McGill UniversityVerified email at mcgill.ca
Sean JewellUniversity of WashingtonVerified email at uw.edu

Toby Dylan Hocking

Northern Arizona University

Verified email at nau.edu - Homepage

Machine learning data visualization


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Heritable targeted gene disruption in zebrafish using designed zinc-finger nucleases Y Doyon, JM McCammon, JC Miller, F Faraji, C Ngo, GE Katibah, ... Nature biotechnology 26 (6), 702-708, 2008	990	2008
plotly: Create Interactive Web Graphics via ‘plotly. js’ C Sievert, C Parmer, T Hocking, S Chamberlain, K Ram, M Corvellec, ... R package version 4 (1), 110, 2017	240*	2017
Clusterpath an algorithm for clustering using convex fusion penalties TD Hocking, A Joulin, F Bach, JP Vert 28th international conference on machine learning, 1, 2011	218	2011
On optimal multiple changepoint algorithms for large data R Maidstone, T Hocking, G Rigaill, P Fearnhead Statistics and computing 27 (2), 519-533, 2017	108	2017
plotly for R C Sievert, T Hocking, S Chamberlain, K Ram, M Corvellec, P Despouy	76	2018
Learning smoothing models of copy number profiles using breakpoint annotations TD Hocking, G Schleiermacher, I Janoueix-Lerosey, V Boeva, J Cappo, ... BMC bioinformatics 14 (1), 1-15, 2013	60	2013
Genomic copy number profiling using circulating free tumor DNA highlights heterogeneity in neuroblastoma M Chicard, S Boyault, LC Daage, W Richer, D Gentien, G Pierron, ... Clinical Cancer Research 22 (22), 5564-5573, 2016	55	2016
Learning sparse penalties for change-point detection using max margin interval regression T Hocking, G Rigaill, JP Vert, F Bach International conference on machine learning, 172-180, 2013	45	2013
Genomic amplifications and distal 6q loss: novel markers for poor survival in high-risk neuroblastoma patients P Depuydt, V Boeva, TD Hocking, R Cannoodt, IM Ambros, PF Ambros, ... JNCI: Journal of the National Cancer Institute 110 (10), 1084-1093, 2018	41	2018
ClinPred: prediction tool to identify disease-relevant nonsynonymous single-nucleotide variants N Alirezaie, KD Kernohan, T Hartley, J Majewski, TD Hocking The American Journal of Human Genetics 103 (4), 474-483, 2018	35	2018
Fast nonconvex deconvolution of calcium imaging data SW Jewell, TD Hocking, P Fearnhead, DM Witten Biostatistics 21 (4), 709-726, 2020	25	2020
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	21	2017
A Bayesian outlier criterion to detect SNPs under selection in large data sets M Gautier, TD Hocking, JL Foulley PloS one 5 (8), e11913, 2010	18	2010
A log-linear time algorithm for constrained changepoint detection TD Hocking, G Rigaill, P Fearnhead, G Bourque arXiv preprint arXiv:1703.03352, 2017	17	2017
SegAnnDB: interactive Web-based genomic segmentation TD Hocking, V Boeva, G Rigaill, G Schleiermacher, I Janoueix-Lerosey, ... Bioinformatics 30 (11), 1539-1546, 2014	16	2014
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data T Hocking, G Rigaill, G Bourque International Conference on Machine Learning, 324-332, 2015	15	2015
Clonal heterogeneity of lymphoid malignancies correlates with poor prognosis M Suguro, N Yoshida, A Umino, H Kato, H Tagawa, M Nakagawa, ... Cancer science 105 (7), 897-904, 2014	15	2014
Meta-mining of copy number profiles of high-risk neuroblastoma tumors P Depuydt, J Koster, V Boeva, TD Hocking, F Speleman, ... Scientific data 5 (1), 1-9, 2018	14	2018
Development and analysis of patient-derived xenograft mouse models in intravascular large B-cell lymphoma K Shimada, S Shimada, K Sugimoto, M Nakatochi, M Suguro, A Hirakawa, ... Leukemia 30 (7), 1568-1579, 2016	11	2016
Generalized functional pruning optimal partitioning (gfpop) for constrained changepoint detection in genomic data TD Hocking, G Rigaill, P Fearnhead, G Bourque arXiv preprint arXiv:1810.00117, 2018	9	2018

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