David Roberts
Orcid: 0000-0003-0648-6585Affiliations:
- University of Oxford, John Radcliffe Hospital, UK
- National Health Service Blood and Transplant, Oxford, UK
According to our database1,
David Roberts
authored at least 12 papers
between 2012 and 2015.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on rdm.ox.ac.uk
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on orcid.org
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on d-nb.info
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Bibliography
2015
Application of the Bi-CoPaM Method to Five Escherichia Coli Datasets Generated under Various Biological Conditions.
J. Signal Process. Syst., 2015
UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets.
BMC Bioinform., 2015
CoCE-SMART: Consensus clustering based on enhanced splitting-merging awareness tactics.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome biogenesis.
BMC Bioinform., 2014
Splitting-while-merging framework for clustering high-dimension data with component-wise expectation conditional maximisation.
Proceedings of the IEEE International Conference on Acoustics, 2014
M-N scatter plots technique for evaluating varying-size clusters and setting the parameters of Bi-CoPaM and Uncles methods.
Proceedings of the IEEE International Conference on Acoustics, 2014
Bi-CoPaM ensemble clustering application to five Escherichia coli bacterial datasets.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Method for the identification of the subsets of genes specifically consistently co-expressed in a set of datasets.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Identification of genes consistently co-expressed in multiple microarray datasets by a genome-wide Bi-CoPaM approach.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Comprehensive analysis of multiple microarray datasets by binarization of consensus partition matrix.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the 20th European Signal Processing Conference, 2012