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Tom R Gaunt

Showing results (11-20 of 241) with videos related to

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Bioinformatics Advances|February 27, 2026
<i>CanDrivR-CS</i>: a cancer-specific machine learning framework for distinguishing recurrent and rare variantsAmy Francis, Colin Campbell, Tom R Gaunt
Journal of Big Data|May 11, 2023
Assessing the effects of hyperparameters on knowledge graph embedding qualityOliver Lloyd, Yi Liu, Tom R Gaunt
Bioinformatics (Oxford, England)|April 3, 2023
Using language models and ontology topology to perform semantic mapping of traits between biomedical datasetsYi Liu, Benjamin L Elsworth, Tom R Gaunt
BMC Bioinformatics|November 6, 2007
Cubic exact solutions for the estimation of pairwise haplotype frequencies: implications for linkage disequilibrium analyses and a web tool 'CubeX'Tom R Gaunt, Santiago Rodríguez, Ian Nm Day
Bioinformatics (Oxford, England)|April 14, 2020
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genomeMark F Rogers, Tom R Gaunt, Colin Campbell
Briefings in Bioinformatics|October 23, 2020
Prediction of driver variants in the cancer genome via machine learning methodologiesMark F Rogers, Tom R Gaunt, Colin Campbell
Bioinformatics (Oxford, England)|October 25, 2021
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genomeMark F Rogers, Tom R Gaunt, Colin Campbell
Cold Spring Harbor Perspectives in Medicine|December 8, 2020
Computational Tools for Causal Inference in GeneticsTom G Richardson, Jie Zheng, Tom R Gaunt
American Journal of Epidemiology|January 8, 2009
Hardy-Weinberg equilibrium testing of biological ascertainment for Mendelian randomization studiesSantiago Rodriguez, Tom R Gaunt, Ian N M Day
Clinical Epigenetics|November 3, 2017
Maternal eating disorders affect offspring cord blood DNA methylation: a prospective studyNabila Kazmi, Tom R Gaunt, Caroline Relton, et al.
Pageof 25

Showing results (11-20 of 241) with videos related to

Sort By:
Pageof 25
Bioinformatics Advances|February 27, 2026
<i>CanDrivR-CS</i>: a cancer-specific machine learning framework for distinguishing recurrent and rare variantsAmy Francis, Colin Campbell, Tom R Gaunt
Journal of Big Data|May 11, 2023
Assessing the effects of hyperparameters on knowledge graph embedding qualityOliver Lloyd, Yi Liu, Tom R Gaunt
Bioinformatics (Oxford, England)|April 3, 2023
Using language models and ontology topology to perform semantic mapping of traits between biomedical datasetsYi Liu, Benjamin L Elsworth, Tom R Gaunt
BMC Bioinformatics|November 6, 2007
Cubic exact solutions for the estimation of pairwise haplotype frequencies: implications for linkage disequilibrium analyses and a web tool 'CubeX'Tom R Gaunt, Santiago Rodríguez, Ian Nm Day
Bioinformatics (Oxford, England)|April 14, 2020
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genomeMark F Rogers, Tom R Gaunt, Colin Campbell
Briefings in Bioinformatics|October 23, 2020
Prediction of driver variants in the cancer genome via machine learning methodologiesMark F Rogers, Tom R Gaunt, Colin Campbell
Bioinformatics (Oxford, England)|October 25, 2021
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genomeMark F Rogers, Tom R Gaunt, Colin Campbell
Cold Spring Harbor Perspectives in Medicine|December 8, 2020
Computational Tools for Causal Inference in GeneticsTom G Richardson, Jie Zheng, Tom R Gaunt
American Journal of Epidemiology|January 8, 2009
Hardy-Weinberg equilibrium testing of biological ascertainment for Mendelian randomization studiesSantiago Rodriguez, Tom R Gaunt, Ian N M Day
Clinical Epigenetics|November 3, 2017
Maternal eating disorders affect offspring cord blood DNA methylation: a prospective studyNabila Kazmi, Tom R Gaunt, Caroline Relton, et al.
Pageof 25