Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization

Full Text: PDFPDF Buy this ArticleBuy this Article
Authors: Filippo Menolascina National Cancer Institute Via F. Hahnemann 10: 70126 Bari: Italy, Bari, Italy
Roberto Teixeira Alves Federal University of Technology of Paraná: Av. 7 de Setembro: 3165 Curitba: Brazil, Curitiba, Brazil
Stefania Tommasi National Cancer Institute Via F. Hahnemann 10: 70126 Bari: Italy, Bari, Italy
Patrizia Chiarappa National Cancer Institute Via F. Hahnemann 10: 70126 Bari: Italy, Bari, Italy
Myriam Delgado Federal University of Technology of Paraná: Av. 7 de Setembro: 3165 Curitba: Brazil, Curitiba, Brazil
Giuseppe Mastronardi Polytechnic of Bari: Via E. Orabona 4: 70126: Bari-Italy, Bari, Italy
Angelo Paradiso National Cancer Institute Via F. Hahnemann 10: 70126 Bari: Italy, Bari, Italy
Alex Freitas University of Kent: CT2 7NF, Canterbury, United Kingdom
Vitoantonio Bevilacqua Polytechnic of Bari: Via E. Orabona 4: 70126: Bari-Italy, Bari, Italy
Induction of fuzzy rules with artificial immune systems in acgh based er status breast cancer characterization Published by ACM 2007 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 12
· Downloads (cumulative): 204
· Citation Count: 0

Published in:
· Proceeding
GECCO '07 Proceedings of the 9th annual conference on Genetic and evolutionary computation
Pages 431-431
ACM New York, NY, USA ©2007
table of contents ISBN: 978-1-59593-697-4 doi>10.1145/1276958.1277051

Tools and Resources

Share:

|
feedback Feedback | Switch to single page view (no tabs)

Powered by The ACM Guide to Computing Literature


The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player
The ACM Guide to Computing Literature
All Tags
Export Formats
 
 
Save to Binder