Paradigm of Tunable Clustering Using Binarization of Consensus Partition Matrices (Bi-CoPaM) for Gene Discovery

Basel Abu-Jamous; Rui Fa; David J. Roberts; Asoke K. Nandi

doi:10.1371/journal.pone.0056432

Loading metrics

Open Access

Peer-reviewed

Research Article

Paradigm of Tunable Clustering Using Binarization of Consensus Partition Matrices (Bi-CoPaM) for Gene Discovery

Basel Abu-Jamous,

Affiliation Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool, United Kingdom
⨯
Rui Fa,

Affiliation Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool, United Kingdom
⨯
David J. Roberts,

Affiliations National Health Service Blood and Transplant, Oxford, United Kingdom, The University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
⨯
Asoke K. Nandi

* E-mail: a.nandi@liverpool.ac.uk

Affiliations Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool, United Kingdom, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland
⨯

Paradigm of Tunable Clustering Using Binarization of Consensus Partition Matrices (Bi-CoPaM) for Gene Discovery

Basel Abu-Jamous,
Rui Fa,
David J. Roberts,
Asoke K. Nandi

Published: February 11, 2013
https://doi.org/10.1371/journal.pone.0056432

About the Authors

Basel Abu-Jamous

Affiliation Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool, United Kingdom

Rui Fa

Affiliation Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool, United Kingdom

David J. Roberts

Affiliations National Health Service Blood and Transplant, Oxford, United Kingdom, The University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom

Asoke K. Nandi

* E-mail: a.nandi@liverpool.ac.uk

Affiliations Department of Electrical Engineering and Electronics, The University of Liverpool, Brownlow Hill, Liverpool, United Kingdom, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylä, Finland

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: BAJ RF AKN. Performed the experiments: BAJ RF AKN. Analyzed the data: BAJ RF AKN. Wrote the paper: BAJ RF DJR AKN.

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Microarrays
Is the Subject Area "Microarrays" applicable to this article?

Thanks for your feedback.
Yeast
Is the Subject Area "Yeast" applicable to this article?

Thanks for your feedback.
Gene expression
Is the Subject Area "Gene expression" applicable to this article?

Thanks for your feedback.
Algorithms
Is the Subject Area "Algorithms" applicable to this article?

Thanks for your feedback.
G1 phase
Is the Subject Area "G1 phase" applicable to this article?

Thanks for your feedback.
Gene regulation
Is the Subject Area "Gene regulation" applicable to this article?

Thanks for your feedback.
Signal to noise ratio
Is the Subject Area "Signal to noise ratio" applicable to this article?

Thanks for your feedback.
Yeast and fungal models
Is the Subject Area "Yeast and fungal models" applicable to this article?

Thanks for your feedback.