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Selection of antisense oligonucleotides based on multiple predicted target mRNA structures
BMC Bioinformatics Open Access 09 March 2006
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By definition, values of correlation coefficients vary from 1 to -1. A value of 1 corresponds to complete correlation, 0 to absence of any correlation and -1 to complete reverse correlation.
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Statistical analysis performed with Statistica 5.1 by StatSoft, Inc. Exploratory statistical analysis reveals two potential sources of problems with the linear correlation approach. First, scatterplots of intracellular and in vitro measurements (not shown) suggest slight deviations from linearity that are likely to increase the total sum of squared distances from the regression line. For this reason, inference based on linear coefficients is expected to be conservative when interpreted in terms of explained variation. Second, both intracellular and in vitro data are characterized by similar measurement errors, and a model with errors in the predictor as well as in the response should be preferred to a standard linear regression. For these reasons, the analysis was performed using the nonparametric approach. However, nonparametric flexibility is achieved at cost of sensitivity of the correlation analysis. Linear Pearson's coefficients were also calculated and are shown in brackets for descriptive purposes. Because of conservative inference from the data, the relationship between intracellular and in vitro measurements might be even stronger than estimated.
Acknowledgements
This work was supported in part by a joint international research grant from the Japan Health Science Foundation (grant no. K-1005, PI, Y. Nakamura) and NIH grant GM48152 to J.F.A.
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Matveeva, O., Felden, B., Tsodikov, A. et al. Prediction of antisense oligonucleotide efficacy by in vitro methods . Nat Biotechnol 16, 1374–1375 (1998). https://doi.org/10.1038/4362
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DOI: https://doi.org/10.1038/4362
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Selection of antisense oligonucleotides based on multiple predicted target mRNA structures
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