Publications by authors named "Toby Dylan Hocking"

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Cross-validation for training and testing co-occurrence network inference algorithms.
Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

BMC Bioinformatics· March 2025

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Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models.
Arnaud Liehrmann, Guillem Rigaill, Toby Dylan Hocking

BMC Bioinformatics· June 2021

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Machine learning algorithms for simultaneous supervised detection of peaks in multiple samples and cell types.
Toby Dylan Hocking, Guillaume Bourque

Pac Symp Biocomput· March 2021

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Fast nonconvex deconvolution of calcium imaging data.
Sean W Jewell, Toby Dylan Hocking, Paul Fearnhead, Daniela M Witten

Biostatistics· October 2020

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ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide Variants.
Najmeh Alirezaie, Kristin D Kernohan, Taila Hartley, Jacek Majewski, Toby Dylan Hocking

Am J Hum Genet· October 2018

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Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning.
Toby Dylan Hocking, Patricia Goerner-Potvin, Andreanne Morin, Xiaojian Shao, Tomi Pastinen

Bioinformatics· February 2017

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Learning smoothing models of copy number profiles using breakpoint annotations.
Toby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Valentina Boeva, Julie Cappo

BMC Bioinformatics· May 2013

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A Bayesian outlier criterion to detect SNPs under selection in large data sets.
Mathieu Gautier, Toby Dylan Hocking, Jean-Louis Foulley

PLoS One· August 2010

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