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Conditional independence relations among biological markers may improve clinical decision as in the case of triple negative breast cancers.
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Stefanini FM, Coradini D, Biganzoli E. Conditional independence relations among biological markers may improve clinical decision as in the case of triple negat... |
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Time-course analysis of genome-wide gene expression data from hormone-responsive human breast cancer cells.
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Mutarelli M, Cicatiello L, Ferraro L, Grober Oli MV, Ravo M, Facchiano AM, Angelini C, Weisz A. Time-course analysis of genome-wide gene expression data from h... |
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Survival Online: a web-based service for the analysis of correlations between gene expression and clinical and follow-up data
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Corradi L, Mirisola V, Porro I, Torterolo L, Fato M, Romano P, Pfeffer U. Survival Online: a web-based service for the analysis of correlations between gene exp... |
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A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection
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Ceccarelli M, D'Acierno A, Facchiano A. A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection.... |
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Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering
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Menolascina F, Bellomo D, Maiwald T, Bevilacqua V, Ciminelli C, Paradiso A, Tommasi S. Developing optimal input design strategies in cancer systems biology wi... |
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Trends in modeling Biomedical Complex Systems.
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Milanesi L, Romano P, Castellani G, Remondini D, Liò P. Trends in modeling Biomedical Complex Systems. BMC Bioinformatics 2009, 10(Suppl 12):I1 |
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SWS: accessing SRS sites contents through Web Services
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Romano P, Marra D. SWS: accessing SRS sites contents through Web Services. BMC Bioinformatics. 2008. 9 (Suppl 2): S15 |
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Time-course analysis of genome-wide gene expression data from hormone-responsive human breast cancer cells
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Mutarelli M, Cicatiello L, et al. Time-course analysis of genome-wide gene expression data from hormone-responsive human breast cancer cells. BMC Bioinformat... |
Software Developer at the European Bioinformatics Institute in Cambridge, UK
CFA: Erice School on Optimization, Machine Learning and Bioinformatics, September 2010