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» Analysis of variance for fuzzy data
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BMCBI
2008
171views more  BMCBI 2008»
13 years 7 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
ADMA
2009
Springer
121views Data Mining» more  ADMA 2009»
13 years 5 months ago
Quantitative Comparison of Similarity Measure and Entropy for Fuzzy Sets
Comparison and data analysis to the similarity measures and entropy for fuzzy sets are studied. The distance proportional value between the fuzzy set and the corresponding crisp se...
Hongmei Wang, Sanghyuk Lee, Jaehyung Kim
BMCBI
2007
138views more  BMCBI 2007»
13 years 7 months ago
A full Bayesian hierarchical mixture model for the variance of gene differential expression
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...
FSS
2006
86views more  FSS 2006»
13 years 7 months ago
An omission approach for detecting outliers in fuzzy regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
Wen-Liang Hung, Miin-Shen Yang
SOCO
2008
Springer
13 years 7 months ago
Fuzzy linear regression model based on fuzzy scalar product
The new concept and method of imposing imprecise (fuzzy) input and output data upon the conventional linear regression model is proposed in this paper. We introduce the fuzzy scala...
Hsien-Chung Wu