Samantha Riccadonna
 |
Samantha Riccadonna |
Junior Researcher
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| FBK - MPBA | |
| Via Sommarive 18, I-38100 Povo (Trento), Italy | |
| Ph: +39 0461 314 523 | |
| Fax: +39 0461 314 591 | |
| Email: riccadonna AT fbk DOT eu | |
| Skype: (ask me) |
| Short CV | Teaching | Research | Publications |
Short CV
Career
| Nov 2008 - present | junior researcher at MPBA Research Unit, FBK |
| Nov 2005 - Oct 2008 | PhD student at the Information and Communication Technologies International Doctoral School of the University of Trento affiliated at MPBA Research Unit, FBK-Irst |
| Jun 2004 - Dec 2005 | junior researcher at IMT (now e-Health) Research Unit, FBK-Irst |
| Apr - May 2004 | science and mathematics teaching at the "Scuola Media, Istituto Comprensivo Giudicarie Esteriori", Ponte Arche, TN (IT) |
Teaching
| 2009-2010 A.Y. | Data Analysis and Exploration |
| August 12-18, 2008 |
Tutor of Machine Learning Methods for Predictive Proteomics alla 3S Biology Summer School (3SBSS) organized by the Centre for Integrative Biology (CIBIO), University of Trento, |
Education
| Mar 2009 | PhD Information and Communication Technologies (Bioinformatics) at the International Doctoral School of the University of Trento. |
| Mar 2004 |
M. Sc. Mathematics at University of Trento, (Prof. S. Baldo and Dr. C. Furlanello) |
Other information:
Secretariat Coordinator - Local Organizing Team of MGED11, the 11th International Meeting of the Microarray Gene Expression Data Society, 1-4 September 2008
Actively involved in the MAQC-II Project, US FDA, for the development of methods for predictive signatures (since September 2007)
Visiting student at University of British Columbia, Vancouver, CA, prof. R. Ng (January - February 2008)
Research Interests
Bioinformatics, Integrative Clinical Genomics, Prognostic Signature Detection, Machine Learning, Predictive Data Mining on High-Throughput Data, Proteomics, Feature Selection
Publications
2010
[PAPER] The MicroArray Quality Control (MAQC) Consortium.
The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models.
Nature Biotechnology, 28(8):827-838, 2010. Full text (HTML) [IF 29.495 (09)]
M. Filosi, G. Guzzetta, D. Albanese, G. Jurman, S. Riccadonna, R. Visintainer, C. Furlanello
L1L2 regression in oncogenomics
Fourth Bioinformatics Meeting on Machine Learning for the Microarray Studies of Disease, Burg Randeck, Germany, 2010. Presentation (PDF)
D. Albanese, G. Jurman, R. Visintainer, S. Merler, S.Riccadonna, C. Furlanello
mlpy, high-performance Python package for predictive modeling
Fourth Bioinformatics Meeting on Machine Learning for the Microarray Studies of Disease, Burg Randeck, Germany, 2010. Presentation (PDF)
G. Jurman, S. Riccadonna, R. Visintainer, G.Guzzetta C. Furlanello.
A ranking stability indicator in bioinformatics.
Cancer Bioinformatics Workshop 2010 - Cambridge, UK. Poster (PDF)
[POSTER] C.Furlanello, G. Guzzetta, M. Filosi, S. Riccadonna, R. Visintainer, G. Jurman.
High-throughput Profiling for Quantitative Phenotypes.
MGED13 - Boston, USA. Poster (PDF)
S. Marchetti, C. Dolci, S. Riccadonna and C. Furlanello.
Bayesian Hierarchical Model for Small Area Disease Mapping: a Breast Cancer Study.
SIS2010 Scientific Meeting - Padua, Italy. Full text (PDF)
C. Dolci, R. De Filippi, S. Droghetti, G. Franch, S. Marchetti, S. Riccadonna, C. Furlanello.
WebGIS Open Source per un Cancer Atlas.
FOSS4G-IT 2010, Lugano, Switzerland. Presentation (PDF)
[PREPRINT] G. Jurman, S. Riccadonna, R. Visintainer, C. Furlanello.
Algebraic Comparison of Partial Lists in Bioinformatics.
arXiv:1004.1341v1 [stat.ML]
2009
[PAPER] G. Jurman, S. Riccadonna, R. Visintainer, C. Furlanello.
Canberra Distance on Ranked Lists.
In Proceedings of Advances in Ranking NIPS 09 Workshop (eds. S. Agrawal, C. Burges, K. Crammer): 22-27, 2009. Full text PDF (available here)
G. Jurman, R. Visintainer, S. Riccadonna, D. Albanese, C. Furlanello.
Algebraic stability indicators for ranked lists in molecular profiling.
SCBD 09 - London, UK. Presentation (PDF)
S. Riccadonna.
Predictive Data Mining for Integrative Functional Genomics.
PhD Thesis, University of Trento.
2008
[PAPER] A. Barla, G. Jurman, S. Riccadonna, M. Chierici, S. Merler, and C. Furlanello.
Machine learning methods for predictive proteomics.
Briefings in Bioinformatics, 9(2):119-128, 2008.
[POSTER] S. Riccadonna, D. Albanese, R. Visintainer, S. Paoli, G. Jurman, and C. Furlanello.
The MLPY/BIODCV Machine Learning Environment for Reproducible Molecular Signature.
MGED11, Riva del Garda, 2008
2007
[PAPER] S. Riccadonna, G. Jurman, S. Merler, S. Paoli, A. Quattrone, and C. Furlanello.
Supervised classification of combined copy number and gene expression data.
Journal of Integrative Bioinformatics, 4(3):74, 2007. [ http ]
[BOOK CHAPTER] G. Jurman, A. Barla, S. Riccadonna, and C. Furlanello.
Genomica e Proteomica Computazionale, volume 26 of CNR - Gruppo Nazionale di Bioingegneria,
chapter Classificazione predittiva per il profiling proteomico,
pages 227-244. Patron editore, 2007.
[POSTER] C. Furlanello, G. Jurman, S. Riccadonna, A. Barla, S. Paoli, and S. Merler.
Biomarker stability of multiresolution proteomic profiling.
Bits 2007 Annual Meeting, Napoli
2005
[POSTER] B. Purin, M. Rigo, S. Riccadonna, S. Forti.
An Interactive Real-Time Visualization Environment For Patients With Hearth Failure.
AMIA Annual Symposium Proceedings, Washington, DC, 2005
2004
[POSTER] C. Furlanello, G. Jurman, M. Serafini, S. Riccadonna, D. Giuliani, S. Merler.
DTW and stagewise regression for the molecular profiling of microarray time series.
ISMB/ECCB 2004 - Glasgow (UK)
