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New algorithms for multi-class cancer diagnosis using tumor gene expression signatures

Bagirov, A. M., Ferguson, B., Ivkovic, S., Saunders, G. and Yearwood, J. 2003, New algorithms for multi-class cancer diagnosis using tumor gene expression signatures, Bioinformatics, vol. 19, no. 14, pp. 1800-1807, doi: 10.1093/bioinformatics/btg238.

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Title New algorithms for multi-class cancer diagnosis using tumor gene expression signatures
Author(s) Bagirov, A. M.
Ferguson, B.
Ivkovic, S.
Saunders, G.
Yearwood, J.ORCID iD for Yearwood, J. orcid.org/0000-0002-7562-6767
Journal name Bioinformatics
Volume number 19
Issue number 14
Start page 1800
End page 1807
Total pages 8
Publisher Oxford University Press
Place of publication Oxford, Eng.
Publication date 2003-09-22
ISSN 1367-4803
Keyword(s) Algorithms
Amino Acid Sequence
Biomarkers, Tumor
Cluster Analysis
Databases, Genetic
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Molecular Sequence Data
Neoplasms
Oligonucleotide Array Sequence Analysis
Pattern Recognition, Automated
Reproducibility of Results
Sensitivity and Specificity
Sequence Alignment
Sequence Analysis, DNA
Language eng
DOI 10.1093/bioinformatics/btg238
Field of Research 01 Mathematical Sciences
06 Biological Sciences
08 Information And Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2003, Oxford University Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30101526

Document type: Journal Article
Collection: School of Information Technology
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