Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series

André V. Carreiro; Orlando Anunciação; João A. Carriço; Sara C. Madeira

doi:10.1515/jib-2011-175

Article Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series

André V. Carreiro, Orlando Anunciação, João A. Carriço, Sara C. Madeira 2011

Carreiro, André V., Anunciação, Orlando, Carriço, João A. and Madeira, Sara C.. "Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series" Journal of Integrative Bioinformatics, vol. 8, no. 3, 2011, pp. 73-89. https://doi.org/10.1515/jib-2011-175

Carreiro, A., Anunciação, O., Carriço, J. & Madeira, S. (2011). Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series. Journal of Integrative Bioinformatics, 8(3), 73-89. https://doi.org/10.1515/jib-2011-175

Carreiro, A., Anunciação, O., Carriço, J. and Madeira, S. (2011) Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series. Journal of Integrative Bioinformatics, Vol. 8 (Issue 3), pp. 73-89. https://doi.org/10.1515/jib-2011-175

Carreiro, André V., Anunciação, Orlando, Carriço, João A. and Madeira, Sara C.. "Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series" Journal of Integrative Bioinformatics 8, no. 3 (2011): 73-89. https://doi.org/10.1515/jib-2011-175

Carreiro A, Anunciação O, Carriço J, Madeira S. Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series. Journal of Integrative Bioinformatics. 2011;8(3): 73-89. https://doi.org/10.1515/jib-2011-175

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Journal of Integrative Bioinformatics (JIB) is an international open access journal publishing original peer-reviewed research articles in all aspects of integrative bioinformatics.

Molecular biology produces huge amounts of data in the post-genomic era. This includes data describing metabolic mechanisms and pathways, structural genomic organization, patterns of regulatory regions; proteomics, transcriptomics, and metabolomics. On the one hand, analysis of this data uses essentially the methods and concepts of computer science; on the other hand, the range of biological tasks solved by researchers determines the range and scope of the data. Currently, there are about 1,000 database systems and various analytical tools available via the Internet which are directed at solving various biological tasks.

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Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series

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