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Mark F Rogers

Showing results (1-10 of 29) with videos related to

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Bioinformatics (Oxford, England)|March 4, 2009
The use of gene ontology evidence codes in preventing classifier assessment biasMark F Rogers, Asa Ben-Hur
Biomed Research International|April 16, 2015
Probabilistic inference of biological networks via data integrationMark F Rogers, Colin Campbell, Yiming Ying
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)|October 25, 2021
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
Genome Biology|February 2, 2012
SpliceGrapher: detecting patterns of alternative splicing from RNA-Seq data in the context of gene models and EST dataMark F Rogers, Julie Thomas, Anireddy Sn Reddy, et al.
Nucleic Acids Research|September 5, 2020
Rapid, robust plasmid verification by de novo assembly of short sequencing readsJenna E Gallegos, Mark F Rogers, Charlotte A Cialek, et al.
Scientific Reports|September 16, 2017
CScape: a tool for predicting oncogenic single-point mutations in the cancer genomeMark F Rogers, Hashem A Shihab, Tom R Gaunt, et al.
Bioinformatics (Oxford, England)|February 1, 2017
HIPred: an integrative approach to predicting haploinsufficient genesHashem A Shihab, Mark F Rogers, Colin Campbell, et al.
Scientific Reports|September 19, 2019
Estimating the Frequency of Single Point Driver Mutations across Common Solid TumoursMadeleine Darbyshire, Zachary du Toit, Mark F Rogers, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|March 4, 2009
The use of gene ontology evidence codes in preventing classifier assessment biasMark F Rogers, Asa Ben-Hur
Biomed Research International|April 16, 2015
Probabilistic inference of biological networks via data integrationMark F Rogers, Colin Campbell, Yiming Ying
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)|October 25, 2021
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
Genome Biology|February 2, 2012
SpliceGrapher: detecting patterns of alternative splicing from RNA-Seq data in the context of gene models and EST dataMark F Rogers, Julie Thomas, Anireddy Sn Reddy, et al.
Nucleic Acids Research|September 5, 2020
Rapid, robust plasmid verification by de novo assembly of short sequencing readsJenna E Gallegos, Mark F Rogers, Charlotte A Cialek, et al.
Scientific Reports|September 16, 2017
CScape: a tool for predicting oncogenic single-point mutations in the cancer genomeMark F Rogers, Hashem A Shihab, Tom R Gaunt, et al.
Bioinformatics (Oxford, England)|February 1, 2017
HIPred: an integrative approach to predicting haploinsufficient genesHashem A Shihab, Mark F Rogers, Colin Campbell, et al.
Scientific Reports|September 19, 2019
Estimating the Frequency of Single Point Driver Mutations across Common Solid TumoursMadeleine Darbyshire, Zachary du Toit, Mark F Rogers, et al.
Pageof 3