User:Filippo Menolascina

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(Todo list for the Bioinformatics Group)
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== My Weblog ==
== My Weblog ==
http://fmenolascina.wordpress.com
http://fmenolascina.wordpress.com
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== Todo list for the Bioinformatics Group ==
 
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Current revision


Filippo Menolascina

Department of Electronics and Electrical Engineering
Technical University of Bari
70126
Bari
Italy

f dot menolascina at ieee dot org

Hello, I'm a member of the Interdisciplinary Bioinformatics Research Group of the NCI-Technical University of Bari.


Contents

Resources

  • Slides for the Master @ NCI

Research Interests

  • Computational Intelligence in Bioinformatics and Systems Biology
  • Microarray Data Analysis Algorithms
  • First Order Logic Rules Inference from HT experiments
  • Gene Network Inference
  • System Identification and Identifiability Issues in Systems Biology
  • Synthetic Biology

Education

B.Eng. in Computer Engineering, Technical University of Bari, 2006
M.Eng. in Computer Engineering, Technical University of Bari, 2008

Publications

Abstracts and Posters

F. Menolascina, S. Tommasi, V. Fedele, D. Albertson, C.. Benz, V. Bevilacqua and A. Paradiso, New Statistic tools for high density array analysis in breast cancer, SIC 2006 - 48th Annual Meeting of the Italian Cancer Society, Bari, September 2006.

F. Menolascina, S. Tommasi, P. Chiarappa, V. Bevilacqua, A. Paradiso, Novel computational paradigms in breast cancer familiarity profiling, EORTC 2007 - Brussels, Belgium (14 - 15 November 2007).

S. Tommasi, F. Menolascina, et al., New bioinformatics tools for genomic studies of familial breast cancer, Abs in AACR Annual Meeting, April 14-18, 2007.

F. Menolascina, S. Tommasi et al., Bio-Inspired Data Mining Approaches in Female Breast Cancer Characterization: a Fuzzy-Immune Perspective, SIC 2007 - 49th Annual Meeting of the Italian Cancer Society, Pordenone, November 2007.

F. Menolascina, S. Tommasi et al., Genomic Instability Events Investigation by means of Array CGH and Computational Intelligence Techniques, SIC 2007 - 49th Annual Meeting of the Italian Cancer Society, Pordenone, November 2007.

S. Tommasi, F. Menolascina, V. Fedele, D. Albertson, C.C. Benz, M. Bruno, R. Pinto, M. lo mele, A. Mangia, V. Bevilacqua, A. Paradiso, aCGH Profile in familial breast cancer, SIC 2006 - 48th Annual Meeting of the Italian Cancer Society, Bari, September 2006.

P. Chiarappa, E. Rossi , A. Mangia, S. Tommasi , F. Menolascina, B. Pilato, L. Ottini, W. Zoli, O. Zuffardi, A. Paradiso, Genomic alterations in male breast cancers by aCGH, Abs in IX Congresso Nazionale SIGU, Venice 2006.

Participations at Workshops

F. Menolascina, Data Mining techniques in aCGH based breast cancer subtype profiling: an immune-genetic perspective with comparative study, Bologna Winter School 2007, Boulogne, Italy, February 18-23, 2007.

F. Menolascina, Genetic Algorithms and Artificial Neural Networks in Gene Expression Levels Analysis, Bologna Winter School 2006, Boulogne, Italy, February 13-17, 2006.

Journals and International Conferences

F. Menolascina, S. Tomamsi et al., Data Mining techniques in aCGH based breast cancer subtype profiling: an immune perspective with comparative study, BMC Systems Biology - ISSN 1752- 0509- , 1(Suppl 1):P70 doi:10.1186/1752-0509-1-S1-P70 - pag. 55-56 , May 2007.

F. Menolascina, S. Tomamsi et al., Data Mining Techniques in Breast Cancer Outcome Prediction: a Survey Study, Proceedings of WIVACE 2007 - September 2007 - in press.

F. Menolascina, S. Tomamsi et al., How Semantic Web Reasoning will Bring us in the Bioinformatics 2.0 Era, Proceedings of WIVACE 2007 - ISSN 1752-0509- ,September 2007 - in press.

F. Menolascina, R.T. Alves et al, Improving Female Breast Cancer Prognosis by Means of Fuzzy Rule Induction with Artificial Immune Systems, Journal ofDynamics of Continuous,Discrete and Impulsive Systems – ISSN: 1492-8760 - in press

V. Bevilacqua, P. Chiarappa, G. Mastronardi, F. Menolascina, A. Paradiso and S. Tommasi, Improving Female Breast Cancer Prognosis by Means of Fuzzy Rule Induction with Artificial Immune Systems, Journal of Dynamics of Continuous, Discrete and Impulsive Systems – ISSN: 1672-0229

F. Menolascina, S. Tommasi, A. Paradiso, M. Cortellino, V. Bevilacqua, G. Mastronardi., F. Menolascina, A. Paradiso and S. Tommasi, Novel Data Mining Techniques in a CGH based Breast Cancer Subtypes Profiling: the biological perspective, Proceedings of 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. April 1-5, 2007 - Honolulu - USA pp- 9-16.

V. Bevilacqua, C.G. de Musso, F. Menolascina, G. Mastronardi and A. Pedone, Hybrid Systems and Artificial Immune Systems: Performances and Applications to Biomedical Research, D. Liu et al. (Eds.) – ISNN 2007, LNCS 4492, Part II, pp. 1107-1114, 2007.

F. Menolascina, R.T. Alves, S. Tommasi, V. Bevilacqua, G. Mastronardi et al., Induction of Fuzzy Rules with Artificial Immune Systems in aCGH based ER Status Breast Cancer Characterization, Proceedings of GECCO 2007 – July 7-11, 2007, London, England, United Kingdom ACM 978-1-59593-697-4/07/0007.

V. Bevilacqua, A. Aulenta, E. Carioggia , G. Mastronardi, F. Menolascina, G. Simeone, A. Paradiso, A. Scarpa, D.Taurino, Metallic artifacts removal in breast CT images for radiotherapy treatment planning by means of supervised and unsupervised neural network algorithms, D.-S. Huang, K. Li, and G.W. Irwin (Eds.): ICIC 2007, LNCS (Lecture Notes on Computer Science) – ISSN: 0302-9743

F. Menolascina, R. Alves, S. Tommasi, P. Chiarappa, M. Delgado, V. Bevilacqua, G. Mastronardi, Fuzzy Rule Induction and Artificial Immune Systems in Female Breast Cancer Familiarity Profiling, Proceedings of KES2007 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems.

G. Mummolo, L. Ranieri, V. Bevilacqua, P. Galli, F. Menolascina, G. Padovano, A Fuzzy Approach for Medical Equipment Replacement System, In Proc. of Maintenance Management 2007.

F. Menolascina, V. Bevilacqua, et al., Genetic Algorithms and Artificial Neural Networks in Microarray Data Analysis: a Distributed Approach, Engineering Letters: Special Issue on Bioinformatics (13):335-343, ISSN: 1816-0948.

F. Menolascina, V. Bevilacqua, G. Mastronardi, Genetic Algorithm and Neural Network Based Classification in Microarray Data Analysis with Biological Validity Assessment, Proceedings of ICIC 2006, LNBI (Lecture Notes in Bioinformatics) 4115, pp. 475 - 484, 2006. – ISSN: 0302-9743.

F. Menolascina, V. Bevilacqua, P. Pannarale, A. Pedone, G. Mastronardi, A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem, Proceedings of International Joint Conference on Neural Networks pp. 3916-3923.

F. Menolascina, V. Bevilacqua, G. Mastronardi, A. Paradiso, S. Tommasi Hybrid Intelligent Data Mining Techniques and Array CGH in Breast Cancer Profiling, Proceedings of , Proceedings of 2006 Workshop on Intelligent Computing and Bioinformatics of CAS – ISBN 7-312-02014-5/Q.43, pp. 93-99.

S. Tommasi F. Menolascina, V. Bevilacqua, P. Pannarale, A. Pedone, G. Mastronardi, A. Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem, Proceedings of International Joint Conference on Neural Networks pp. 3916-3923.

V. Bevilacqua, F. Menolascina, G. Mastronardi, Hybrid data analysis methods and artificial neural network design in breast cancer diagnosis: IDEST experience, Proceedings of CIMCA- IAWTIC’05 Volume 2:373-378.

V. Bevilacqua, F. Menolascina, G.Mastronardi, Intelligent Information Structure Investigation in Biomedical Databases: The Breast Cancer Diagnosis Problem, Eight IASTED International Conference on Intelligent Systems and Control (ISC 2005) pp. 309-314.

Book Chapters

V. Bevilacqua, F. Menolascina, R.T. Alves, S. Tommasi, G. Mastronardi, M. Delgado, A. Paradiso, G. Nicosia and Alex A. Freitas, Artificial Immune Systems in Bioinformatics, Applications of Computational Intelligence in Bioinformatics and Biomedicine: Current Trends and Open Problems Springer, in press

V. Bevilacqua, F. Menolascina, M. Zarrilli , P. Pannarale, G. Mastronardi, Type 2 Fuzzy Systems based Inference in Bioinformatics and Systems Biology. in "Studies in Computational Intelligence: Fuzzy Systems in Bioinformatics". Springer - in press

V. Bevilacqua, F. Menolascina, M. Zarrilli , P. Pannarale, G. Mastronardi, Artificial Immune Systems and Type 2 Fuzzy Systems in Bioinformatics. in "Data Mining in Biomedical Sciences and Bioinformatics" - ARS Publishing - in press.

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My Weblog

http://fmenolascina.wordpress.com
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