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David M Budden

Showing results (1-10 of 11) with videos related to

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BMC Bioinformatics|November 7, 2016
Distributed gene expression modelling for exploring variability in epigenetic functionDavid M Budden, Edmund J Crampin
BMC Systems Biology|September 8, 2016
Information theoretic approaches for inference of biological networks from continuous-valued dataDavid M Budden, Edmund J Crampin
Source Code for Biology and Medicine|November 19, 2015
FlexDM: Simple, parallel and fault-tolerant data mining using WEKAMadison Flannery, David M Budden, Alexandre Mendes
Briefings in Bioinformatics|December 1, 2014
Virtual Reference Environments: a simple way to make research reproducibleDaniel G Hurley, David M Budden, Edmund J Crampin
Briefings in Bioinformatics|September 19, 2014
Predictive modelling of gene expression from transcriptional regulatory elementsDavid M Budden, Daniel G Hurley, Edmund J Crampin
Epigenetics & Chromatin|June 23, 2015
Modelling the conditional regulatory activity of methylated and bivalent promotersDavid M Budden, Daniel G Hurley, Edmund J Crampin
Bioinformatics (Oxford, England)|May 8, 2015
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networksDaniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
Bioinformatics (Oxford, England)|September 24, 2014
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networksDaniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
Epigenetics & Chromatin|December 10, 2014
Predicting expression: the complementary power of histone modification and transcription factor binding dataDavid M Budden, Daniel G Hurley, Joseph Cursons, et al.
Human Gene Therapy|June 22, 2018
A Need for Better Understanding Is the Major Determinant for Public Perceptions of Human Gene EditingTristan McCaughey, David M Budden, Paul G Sanfilippo, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|November 7, 2016
Distributed gene expression modelling for exploring variability in epigenetic functionDavid M Budden, Edmund J Crampin
BMC Systems Biology|September 8, 2016
Information theoretic approaches for inference of biological networks from continuous-valued dataDavid M Budden, Edmund J Crampin
Source Code for Biology and Medicine|November 19, 2015
FlexDM: Simple, parallel and fault-tolerant data mining using WEKAMadison Flannery, David M Budden, Alexandre Mendes
Briefings in Bioinformatics|December 1, 2014
Virtual Reference Environments: a simple way to make research reproducibleDaniel G Hurley, David M Budden, Edmund J Crampin
Briefings in Bioinformatics|September 19, 2014
Predictive modelling of gene expression from transcriptional regulatory elementsDavid M Budden, Daniel G Hurley, Edmund J Crampin
Epigenetics & Chromatin|June 23, 2015
Modelling the conditional regulatory activity of methylated and bivalent promotersDavid M Budden, Daniel G Hurley, Edmund J Crampin
Bioinformatics (Oxford, England)|May 8, 2015
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networksDaniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
Bioinformatics (Oxford, England)|September 24, 2014
NAIL, a software toolset for inferring, analyzing and visualizing regulatory networksDaniel G Hurley, Joseph Cursons, Yi Kan Wang, et al.
Epigenetics & Chromatin|December 10, 2014
Predicting expression: the complementary power of histone modification and transcription factor binding dataDavid M Budden, Daniel G Hurley, Joseph Cursons, et al.
Human Gene Therapy|June 22, 2018
A Need for Better Understanding Is the Major Determinant for Public Perceptions of Human Gene EditingTristan McCaughey, David M Budden, Paul G Sanfilippo, et al.
Pageof 2