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David C Hoyle

Showing results (1-10 of 17) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|October 6, 2010
Accuracy of Pseudo-Inverse Covariance Learning--A Random Matrix Theory AnalysisDavid C Hoyle
Ophthalmology and Therapy|November 22, 2021
Translating the Machine: Skills that Human Clinicians Must Develop in the Era of Artificial IntelligenceTariq M Aslam, David C Hoyle
Computers in Biology and Medicine|October 18, 2005
Machine learning in bioinformatics: a brief survey and recommendations for practitionersHarish Bhaskar, David C Hoyle, Sameer Singh
Bioinformatics (Oxford, England)|May 23, 2002
Making sense of microarray data distributionsDavid C Hoyle, Magnus Rattray, Ray Jupp, et al.
Ophthalmology and Therapy|January 9, 2021
Statistical Modelling of the Visual Impact of Subretinal Fluid and Associated FeaturesTariq M Aslam, Sajjad Mahmood, Konstantinos Balaskas, et al.
Studies in Health Technology and Informatics|July 14, 2009
Shared genomics: high performance computing for distributed insights in genomic medical researchDavid C Hoyle, Mark Delderfield, Lee Kitching, et al.
BMC Genomics|July 5, 2008
Strong position-dependent effects of sequence mismatches on signal ratios measured using long oligonucleotide microarraysCatriona Rennie, Harry A Noyes, Stephen J Kemp, et al.
Retina (Philadelphia, Pa.)|July 16, 2021
IMAGE ANALYSIS OF OPTICAL COHERENCE TOMOGRAPHY SCANS TO EXPLORE ESTABLISHED AND NOVEL CHOROIDAL FEATURES IN PATIENTS WITH CENTRAL SEROUS CHORIORETINOPATHYTariq M Aslam, Ramandeep Chhabra, Rupesh Agrawal, et al.
Genome Research|June 3, 2004
Comparative genomic hybridization provides new insights into the molecular taxonomy of the Saccharomyces sensu stricto complexLaura C Edwards-Ingram, Manda E Gent, David C Hoyle, et al.
Nucleic Acids Research|August 9, 2003
A model-based analysis of microarray experimental error and normalisationYongxiang Fang, Andrew Brass, David C Hoyle, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 6, 2010
Accuracy of Pseudo-Inverse Covariance Learning--A Random Matrix Theory AnalysisDavid C Hoyle
Ophthalmology and Therapy|November 22, 2021
Translating the Machine: Skills that Human Clinicians Must Develop in the Era of Artificial IntelligenceTariq M Aslam, David C Hoyle
Computers in Biology and Medicine|October 18, 2005
Machine learning in bioinformatics: a brief survey and recommendations for practitionersHarish Bhaskar, David C Hoyle, Sameer Singh
Bioinformatics (Oxford, England)|May 23, 2002
Making sense of microarray data distributionsDavid C Hoyle, Magnus Rattray, Ray Jupp, et al.
Ophthalmology and Therapy|January 9, 2021
Statistical Modelling of the Visual Impact of Subretinal Fluid and Associated FeaturesTariq M Aslam, Sajjad Mahmood, Konstantinos Balaskas, et al.
Studies in Health Technology and Informatics|July 14, 2009
Shared genomics: high performance computing for distributed insights in genomic medical researchDavid C Hoyle, Mark Delderfield, Lee Kitching, et al.
BMC Genomics|July 5, 2008
Strong position-dependent effects of sequence mismatches on signal ratios measured using long oligonucleotide microarraysCatriona Rennie, Harry A Noyes, Stephen J Kemp, et al.
Retina (Philadelphia, Pa.)|July 16, 2021
IMAGE ANALYSIS OF OPTICAL COHERENCE TOMOGRAPHY SCANS TO EXPLORE ESTABLISHED AND NOVEL CHOROIDAL FEATURES IN PATIENTS WITH CENTRAL SEROUS CHORIORETINOPATHYTariq M Aslam, Ramandeep Chhabra, Rupesh Agrawal, et al.
Genome Research|June 3, 2004
Comparative genomic hybridization provides new insights into the molecular taxonomy of the Saccharomyces sensu stricto complexLaura C Edwards-Ingram, Manda E Gent, David C Hoyle, et al.
Nucleic Acids Research|August 9, 2003
A model-based analysis of microarray experimental error and normalisationYongxiang Fang, Andrew Brass, David C Hoyle, et al.
Pageof 2