Extracting biological knowledge by fuzzy association rule mining

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2007, Pages

  Lopez, F Javier ^a   Blanco, Armando ^a   Garcia, Fernando ^a   Marin, Antonio ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF SEVILLE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATIVE PROCESSING; DATA MINING; FUZZY LOGIC; FUZZY RULES; FUZZY SETS; FUZZY SYSTEMS; LAWS AND LEGISLATION; MINING; SET THEORY;

BIOLOGICAL DATA; FUZZY ASSOCIATION RULES; FUZZY SET THEORY; HETEROGENEOUS DATA; IN-CELL; INTERNATIONAL CONFERENCES; NOISY DATA; STRUCTURAL GENES;

ASSOCIATION RULES;

EID: 50249172996     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2007.4295431     Document Type: Conference Paper

References (24)

1. R. Agrawal, T. Imielinski and A. Swami, "Mining association rules between sets of items in large databases", In Proc. Of the ACM SIGMOD INTL Conf. on Management of Data (ACM SIGMOD 93), Washington, USA, 1993.
2. M. Ashburner et al., "Gene Ontology: tool for the unification of biology", Nat. Genet., 25, 25-29, 2000.
3. J.A. Birdsell, "Integrating genomics, bioinformatics, and classical genetics to study the effects of recombination on genome evolution", Mol. Biol. Evol. 19: 1181- 1197, 2002.
4. O. Bodenreider, M. Aubry, A. Burgun, "Non-lexical approaches to identifying associative relations in the Gene Ontology", Pac Symp Biocomput, 2005.
5. GHPM Bollen, WH Mager, LW Jenneskens, RJ Planta, "Small-Size mRNAs Code for Ribosomal Proteins in Yeast", Godfried H. P. Eur. J. Biochem. 105, 75 - 80, 1980.
6. K.R. Bradnam, C. Seoighe, P.M. Sharp, K.H. Wolfe, "G+C content variation along and among Saccharomyces cerevisiae chromosomes", Mol. Biol. Evol. 16, 666- 675, 1999.
7. C. Cano, A. Blanco, F. Garcia F. J. Lopez, "Evolutionary algorithms for finding interpretable patterns in gene expression data", IADIS International Journal on Computer Science and Information System, 88-99, 2006.
8. P. Carmona-Saez, M. Chagoyen, A. Rodriguez, O. Trelles, J. M. Carazo, A. Pascual-Montano, "Integrated analysis of gene expression by association rules discovery", BMC Bioinformatics, 7:54, 2006
9. Y. Cheng, G. Church, "Biclustering of expression data", Proc. ISMB00, AAAI Press; 93-103, 2000.
10. R.J. Cho, et al, "A genome-wide transcriptional analysis of the mitotic cell cycle", Mol Cell., 2(1), 65-73, 1998.
11. C. Creighton and S. Hanash, "Mining gene expression databases for association rules", Bioinformatics, 19(1):79 - 86, 2003.
12. M. Delgado, N. Marin, M.J. Martin-Bautista, D. Sanchez and M.A. Vila, "Mining fuzzy association rules: an overview", BISC International Workshop on Soft Computing for Internet and Bioinformatics, 2003
13. M. Delgado, N. Marin, D. Sanchez, M.A. Vila, "Fuzzy association rules: General model and applications", IEEE Trans. Fuzzy Systems, 214225, 2003.
14. B. Dujon, "The yeast genome project: what did we learn?", Trends Genet. 12, 263- 270, 1996.
15. S. S. Dwight, et al, "Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO)", Nucleic Acids Res., 30, 69-72, 2002.
16. J. Filipski, M. Mucha, "Structure, function and DNA composition of Saccharomyces cerevisiae chromatin loops", Gene 300: 63- 68, 2002.
17. A. Marin, M. Gallardo, Y. Kato, K. Shirahige, G. Gutierrez, K. Ohta, A. Aguilera, "Relationship between G+C content, ORF-length and mRNA concentration in Saccharomyces cerevisiae", Yeast 20, 703-711, 2003
18. A. Marin, M. Wang, G. Gutierrez, "Short-range compositional correlation in the yeast genome depends on transcriptional orientation" , Gene 333: 151-155, 2004.
19. P. Resnik, "Using information content to evaluate semantic similarity in a taxonomy", In Proceedings of the 14th International Joint Conference on Artificial Intelligence, IJCAI'95, pages 448-453, Montreal, Canada.
20. A. Rodriguez, J. M. Carazo, O. Trelles-Salazar, "Mining association rules from biological databases", JASIST 56(5): 493-504, 2005.
21. R. Srikant, R. Agrawal., "Fast algorithms for mining association rules", In Proc. of the 20th Int'l Conference on Very Large Databases, Santiago, Chile, 1994.
22. K. Wang, L. Tang, J. Han and J. Liu, "Top down FP-Growth for association rule mining", In the 6th Pacific Area Conference on Knowledge Discovery and Data Mining, Taipei, Taiwan, 2002.
23. J. Warringer, A. Blomberg, "Evolutionary constraints on yeast protein size", BMC Evol Biol, 15;6:61, 2006.
24. L.A. Zadeh, "Fuzzy sets", Information and Control 8(3): 338-353, 1965.