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) 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
Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling / Menolascina, F; Alves, R; Tommasi, S; Chiarappa, P; Delgado, M; Bevilacqua, Vitoantonio; Mastronardi, Giuseppe; Freitas, A; Paradiso, A.. - In: INTERNATIONAL JOURNAL OF HYBRID INTELLIGENT SYSTEMS. - ISSN 1448-5869. - 5:3(2008), pp. 161-165. [10.3233/HIS-2008-5306]
Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling
Bevilacqua, Vitoantonio;MASTRONARDI, Giuseppe;
2008-01-01
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) of aCGH data. Competitive results have been obtained using IFRAIS. A biological interpretation of the results carried out using Gene Ontology is currently under investigationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
