TY - JOUR AU - Lopez, Francisco J. AU - Blanco, Armando AU - Garcia, Fernando AU - Cano, Carlos AU - Marin, Antonio PY - 2008 DA - 2008/02/19 TI - Fuzzy association rules for biological data analysis: A case study on yeast JO - BMC Bioinformatics SP - 107 VL - 9 IS - 1 AB - Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the information available in the various databases is required to unveil possible associations relating already known data. Biological data are often imprecise and noisy. Fuzzy set theory is specially suitable to model imprecise data while association rules are very appropriate to integrate heterogeneous data. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-9-107 DO - 10.1186/1471-2105-9-107 ID - Lopez2008 ER -