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In the past years, various microarray technologies have been used to extract useful biological information from microarray data. Microarray technologies have become a central tool in biological research. The extraction or identification of gene groups with similar expression pattern, plays an important role in the analysis of genes. The primary techniques involve clustering and biclustering methods...
Acute behavioral responses to alcohol have been shown to be contributing factors to alcoholism, a disease that may be associated with high stress levels and brain injury. In this study, the LXS line of recombinant inbred mouse strains is used to develop understanding of the genetic basis of ethanol response, by finding links between genotype, gene expression data, and phenotypes associated with increased...
This paper presents a novel fuzzy rule based gene ranking algorithm for extracting salient genes from a large set of microarray data which helps us to reduce computational efforts towards model building process. The proposed algorithm is an unsupervised approach and does not require class information for gene ranking and Microarray data has been used to form a set of robust fuzzy rule base which helps...
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