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Toby Dylan Hocking

Showing results (1-10 of 8) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Machine learning algorithms for simultaneous supervised detection of peaks in multiple samples and cell typesToby Dylan Hocking, Guillaume Bourque
BMC Bioinformatics|June 15, 2021
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation modelsArnaud Liehrmann, Guillem Rigaill, Toby Dylan Hocking
Plos One|August 7, 2010
A Bayesian outlier criterion to detect SNPs under selection in large data setsMathieu Gautier, Toby Dylan Hocking, Jean-Louis Foulley
BMC Bioinformatics|March 5, 2025
Cross-validation for training and testing co-occurrence network inference algorithmsDaniel Agyapong, Jeffrey Ryan Propster, Jane Marks, et al.
Biostatistics (Oxford, England)|February 13, 2019
Fast nonconvex deconvolution of calcium imaging dataSean W Jewell, Toby Dylan Hocking, Paul Fearnhead, et al.
American Journal of Human Genetics|September 18, 2018
ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide VariantsNajmeh Alirezaie, Kristin D Kernohan, Taila Hartley, et al.
Bioinformatics (Oxford, England)|November 1, 2016
Optimizing ChIP-seq peak detectors using visual labels and supervised machine learningToby Dylan Hocking, Patricia Goerner-Potvin, Andreanne Morin, et al.
BMC Bioinformatics|May 24, 2013
Learning smoothing models of copy number profiles using breakpoint annotationsToby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Machine learning algorithms for simultaneous supervised detection of peaks in multiple samples and cell typesToby Dylan Hocking, Guillaume Bourque
BMC Bioinformatics|June 15, 2021
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation modelsArnaud Liehrmann, Guillem Rigaill, Toby Dylan Hocking
Plos One|August 7, 2010
A Bayesian outlier criterion to detect SNPs under selection in large data setsMathieu Gautier, Toby Dylan Hocking, Jean-Louis Foulley
BMC Bioinformatics|March 5, 2025
Cross-validation for training and testing co-occurrence network inference algorithmsDaniel Agyapong, Jeffrey Ryan Propster, Jane Marks, et al.
Biostatistics (Oxford, England)|February 13, 2019
Fast nonconvex deconvolution of calcium imaging dataSean W Jewell, Toby Dylan Hocking, Paul Fearnhead, et al.
American Journal of Human Genetics|September 18, 2018
ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide VariantsNajmeh Alirezaie, Kristin D Kernohan, Taila Hartley, et al.
Bioinformatics (Oxford, England)|November 1, 2016
Optimizing ChIP-seq peak detectors using visual labels and supervised machine learningToby Dylan Hocking, Patricia Goerner-Potvin, Andreanne Morin, et al.
BMC Bioinformatics|May 24, 2013
Learning smoothing models of copy number profiles using breakpoint annotationsToby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, et al.
Pageof 1