Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling

Filippo Menolascina, Roberto T. Alves, Stefania Tommasi, Patrizia Chiarappa, Myriam Delgado, Vitoantonio Bevilacqua, Giuseppe Mastronardi, Alex A. Freitas, Angelo Paradiso

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Genomic DNA copy number aberrations are frequent in solid tumours although their underlying causes of chromosomal instability in tumours remain obscure. In this paper we show how Artificial Immune System (AIS) paradigm can be successfully employed in the elucidation of biological dynamics of cancerous processes using a novel fuzzy rule induction system for data mining (IFRAIS) [1] of aCGH data. Competitive results have been obtained using IFRAIS. A biological interpretation of the results carried out using Gene Ontology is currently under investigation.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages830-837
Number of pages8
Volume4694 LNAI
EditionPART 3
Publication statusPublished - 2007
Event11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, Italy
Duration: Sep 12 2007Sep 14 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume4694 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
CountryItaly
CityVietri sul Mare
Period9/12/079/14/07

Fingerprint

Rule Induction
Artificial Immune System
Immune system
Fuzzy rules
Fuzzy Rules
Profiling
Breast Cancer
Tumors
Immune System
Tumor
Breast Neoplasms
Chromosomal Instability
Gene Ontology
Data Mining
Aberrations
Aberration
Genomics
Data mining
Ontology
Neoplasms

Keywords

  • aCGH
  • AIS
  • Breast cancer
  • Data mining
  • Fuzzy rules induction

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Menolascina, F., Alves, R. T., Tommasi, S., Chiarappa, P., Delgado, M., Bevilacqua, V., ... Paradiso, A. (2007). Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 4694 LNAI, pp. 830-837). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4694 LNAI, No. PART 3).

Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. / Menolascina, Filippo; Alves, Roberto T.; Tommasi, Stefania; Chiarappa, Patrizia; Delgado, Myriam; Bevilacqua, Vitoantonio; Mastronardi, Giuseppe; Freitas, Alex A.; Paradiso, Angelo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4694 LNAI PART 3. ed. 2007. p. 830-837 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4694 LNAI, No. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Menolascina, F, Alves, RT, Tommasi, S, Chiarappa, P, Delgado, M, Bevilacqua, V, Mastronardi, G, Freitas, AA & Paradiso, A 2007, Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 edn, vol. 4694 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 4694 LNAI, pp. 830-837, 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007, Vietri sul Mare, Italy, 9/12/07.
Menolascina F, Alves RT, Tommasi S, Chiarappa P, Delgado M, Bevilacqua V et al. Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Vol. 4694 LNAI. 2007. p. 830-837. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
Menolascina, Filippo ; Alves, Roberto T. ; Tommasi, Stefania ; Chiarappa, Patrizia ; Delgado, Myriam ; Bevilacqua, Vitoantonio ; Mastronardi, Giuseppe ; Freitas, Alex A. ; Paradiso, Angelo. / Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4694 LNAI PART 3. ed. 2007. pp. 830-837 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
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