Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein |
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Authors: | Email author" target="_blank">Gajendra?PS?RaghavaEmail author Joon?H?Han |
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Institution: | (1) Department of Computer Science and Engineeringx, Pohang University of Science and Technology, San 31 Hyo-Ja Dong, 790–784 Pohang, Republic of Korea;(2) Bioinformatics Centre, Institute of Microbial Technology, Sector 39A, 160036 Chandigarh, India |
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Abstract: | Background A large number of papers have been published on analysis of microarray data with particular emphasis on normalization of data,
detection of differentially expressed genes, clustering of genes and regulatory network. On other hand there are only few
studies on relation between expression level and composition of nucleotide/protein sequence, using expression data. There
is a need to understand why particular genes/proteins express more in particular conditions. In this study, we analyze 3468
genes of Saccharomyces cerevisiae obtained from Holstege et al., (1998) to understand the relationship between expression level and amino acid composition. |
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