Prediction of Gene Expression from its Nucleotide Composition
This server allows user to analsis the expresion data (Microarray Data) where it calculate correlation coefficient between level of gene expression and nucleotides composition of genes. This will facilitate users in understanding which nucleotides are prefered and vice verse in a organism in given condition. This server also allows to learn from known microarray gene expression data and to predict expression level of other genes of same organism in that condition from their DNA sequence. The method uses SVM for learning and prediction.
Raghava, G. P. S., Hwang, D. J.
and Han, J. H. (2004) Correlation between Expression Level of Gene and Codon Usage. Proceedings of the 3rd Annual Conference of the Korean
Society for Bioinformatics(KSBI2004), November 4-5, 2004, Seoul Korea. pp.
138-149. Reprint (PDF)