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R Gaunt

Showing results (21-30 of 287) with videos related to

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Nature Biomedical Engineering|December 21, 2022
Predicting pathogenicity from non-coding mutationsColin Campbell, Amy Francis, Tom R Gaunt
Endocrinology|October 29, 2010
Disturbances of water metabolism in vitamin deficiencies and effects of adrenal cortical hormonesR GAUNT, M LILING, C W MUSHETT
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
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)|April 14, 2020
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genomeMark F Rogers, Tom R Gaunt, Colin Campbell
Bioinformatics (Oxford, England)|April 9, 2021
MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genesM K Sobczyk, T R Gaunt, L Paternoster
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
Pageof 29

Showing results (21-30 of 287) with videos related to

Sort By:
Pageof 29
Nature Biomedical Engineering|December 21, 2022
Predicting pathogenicity from non-coding mutationsColin Campbell, Amy Francis, Tom R Gaunt
Endocrinology|October 29, 2010
Disturbances of water metabolism in vitamin deficiencies and effects of adrenal cortical hormonesR GAUNT, M LILING, C W MUSHETT
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
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)|April 14, 2020
CScape-somatic: distinguishing driver and passenger point mutations in the cancer genomeMark F Rogers, Tom R Gaunt, Colin Campbell
Bioinformatics (Oxford, England)|April 9, 2021
MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genesM K Sobczyk, T R Gaunt, L Paternoster
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
Pageof 29