Toby Dylan Hocking
Toby Dylan Hocking
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Cited by
Cited by
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
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
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
On optimal multiple changepoint algorithms for large data
R Maidstone, T Hocking, G Rigaill, P Fearnhead
Statistics and computing 27 (2), 519-533, 2017
plotly for R
C Sievert, T Hocking, S Chamberlain, K Ram, M Corvellec, P Despouy
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
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
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
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
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
Fast nonconvex deconvolution of calcium imaging data
SW Jewell, TD Hocking, P Fearnhead, DM Witten
Biostatistics 21 (4), 709-726, 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
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
A log-linear time algorithm for constrained changepoint detection
TD Hocking, G Rigaill, P Fearnhead, G Bourque
arXiv preprint arXiv:1703.03352, 2017
SegAnnDB: interactive Web-based genomic segmentation
TD Hocking, V Boeva, G Rigaill, G Schleiermacher, I Janoueix-Lerosey, ...
Bioinformatics 30 (11), 1539-1546, 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
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
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
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
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
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