Dr Daniel Soria
Daniele Soria
role Role: Research Fellow
qualifications Qualifications:

BSc Mathematics (Milan), MSc Applied Mathematics (Milan), PhD Computer Science (Nottingham)
office Office: B36
telephone Telephone: +44 (0) 115 84 68379
email Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
homepage Homepage: http://www.cs.nott.ac.uk/~dqs

Research

My main research interests are bioinformatics and medical applications including data mining and data analysis, clustering techniques and classification algorithms.


My PhD thesis title was: Novel methods to elucidate core classes in multi-dimensional biomedical data.

Teaching & Supervision

My PhD Supervisors were Jonathan M. Garibaldi, Elia Biganzoli and Ian Ellis

 

Current Project

My PhD was supported by the BIOPTRAIN FP6 Marie-Curie EST Fellowship.

My current project is supported by the MRC (Medical Research Council)

Journal Papers
Author(s) Title Publisher Page Year
Emad A. Rakha, Daniele Soria, Christophe Lemetre, Andrew R. Green, Des G. Powe, Christopher C. Nolan, Jonathan M. Garibaldi, Graham R. Ball, Ian O. Ellis Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer accepted for publication in International Journal of Cancer tbc 2012
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Elia Biganzoli, Ian O. Ellis A ‘Non-Parametric’ Version of the Naive Bayes Classifier Knowledge-Based Systems 24 775-784 2011
Elia Biganzoli, Danila Coradini, Federico Ambrogi, Jonathan M. Garibaldi, Paulo Lisboa, Daniele Soria, Andrew R. Green, Massimo Pedriali, Mauro Piantelli, Patrizia Querzoli, Romano Demicheli, Patrizia Boracchi p53 Status Identifies Two Subgroups of Triple-negative Breast Cancers with Distinct Biological Features Japanese Journal of Clinical Oncology 41 (2) 172-179 2011
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Andrew R. Green, Des Powe, Emad Rakha, R. Douglas Macmillan, Roger W. Blamey, Graham Ball, Paulo J.G. Lisboa, Terence A. Etchells, Patrizia Boracchi, Elia Biganzoli, Ian O. Ellis A Methodology to Identify Consensus Classes from Clustering Algorithms Applied to Immunohistochemical Data from Breast Cancer Patients Computers in Biology and Medicine 40 318-330 2010
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Patrizia Boracchi, Elena Raimondi, Elia Biganzoli Cancer profiles by affinity propagation International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESDP) 1 195-215 2009
Somaia E. Elsheikh, Andrew R. Green, Emad A. Rakha, Des G. Powe, Rabab A. Ahmed, Hilary M. Collins, Daniele Soria, Jonathan M. Garibaldi, Claire E. Paish, Amr A. Ammar, Matthew J. Grainge, Graham R. Ball, Magdy K. Abdelghany, Luisa Martinez-Pomares, David M. Heery, Ian O. Ellis Global Histone Modifications in Breast Cancer Correlate with Tumor Phenotypes, Prognostic Factors, and Patient Outcome Cancer Research 69 (9) 3802-3809 2009
Andrew R. Green, Jonathan M. Garibaldi, Daniele Soria, Federico Ambrogi, Desmond G. Powe, Graham Ball, Paulo Lisboa, Patrizia Boracchi, Elia Biganzoli, Ian Ellis Identification of Key Breast Cancer Phenotypes European Journal of Cancer Supplements 6 (7) 183 2008
Andrew R. Green, Jonathan M. Garibaldi, Daniele Soria, Federico Ambrogi, Desmond G. Powe, Graham Ball, Paulo Lisboa, Patrizia Boracchi, Elia Biganzoli, Ian Ellis Identification and Definition of Novel Clinical Phenotypes of Breast Cancer through Concensus Derived from Automated Clustering Methods Breast Cancer Research 10 S36 2008
Andrew R. Green, Jonathan M. Garibaldi, Daniele Soria, Federico Ambrogi, Desmond G. Powe, Graham Ball, Paulo Lisboa, Patrizia Boracchi, Elia Biganzoli, Ian Ellis Identification of Novel Clinical Phenotypes of Breast Cancer by Immunohistochemical Analysis Modern Pathology 21 34a 2008
Andrew R. Green, Jonathan M. Garibaldi, Daniele Soria, Federico Ambrogi, Desmond G. Powe, Graham Ball, Paulo Lisboa, Patrizia Boracchi, Elia Biganzoli, Ian Ellis Identification of Sub-Classes of Breast Cancer Through Consensus Derived From Automated Clustering Methods EJC Supplements 5 (3) 59-59 2007

Conference Papers
Author(s) Title Publisher Page Year
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard Discovering Sequential Patterns in a UK General Practice Database 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics tbc 2012
Binafsha M. Syed, Andrew R. Green, Daniele Soria, Emma C. Paish, Jonathan M. Garibaldi, David A. L. Morgan, Ian O. Ellis, Kwok L. Cheung Molecular characterization of primary breast cancer in older women using partitional clustering and correlation with long-term clinical outcome J Clin Oncol 2011, ASCO Annual Meeting Proceedings I 29 15S:10549 2011
Daniele Soria, Jonathan M. Garibaldi A Novel Framework to Elucidate Core Classes in a Dataset Proceedings of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Spain 533-540 2010
Jonathan M. Garibaldi, Daniele Soria, Khairul A. Rasmani Consensus Clustering and Fuzzy Classification for Breast Cancer Prognosis The 24th European Conference on Modelling and Simulation, June 1st - 4th, 2010 - Kuala Lumpur, Malaysia 2010
Daniele Soria, Federico Ambrogi, Patrizia Boracchi, Jonathan M. Garibaldi, Elia Biganzoli Application of Affinity Propagation on a large breast cancer data set Proceedings of Conference on Statistical Methods for the analysis of large data-sets, SIS2009, Pescara, Italy 531-534 2009
Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis A Comparison of Three Different Methods for Classification of Breast Cancer Data Proceedings of the 7th International Conference on Machine Learning and Applications (ICMLA08), San Diego, US 619-624 2008
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Paulo J.G. Lisboa, Patrizia Boracchi, Elia Biganzoli Clustering Breast Cancer Data by Consensus of Different Validity Indices The 4th International Conference on Advances in Medical, Signal and Information Processing (MEDSIP), Santa Margherita Ligure, Italy 2008
Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli Cancer profiles by Affinity Propagation Proceedings of the 7th International Conference on Machine Learning and Applications (ICMLA08), San Diego, US 650-655 2008

Research Reports
Author(s) Title Publisher Page Year
Daniele Soria Novel Methods to Elucidate Core Classes in Multi-Dimensional Biomedical Data PhD Thesis, School of Computer Science, University of Nottingham 2010

 

 

Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.