New PDF release: A bootastrap approach to non-parametric regression for right

By Li G., Datta S.

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6 One-sample t-test The one sample t-test in GeneSpring is automatically calculated for all the genes, whenever replicates are available. 11). The same p-values are also reported in the Spreadsheet, which is invoked from File->View as spreadsheet. 7 Independent samples t-test and ANOVA The independent samples t-test and ANOVA are located in Tools->Filtering and statistical analysis. Clicking the right hand mouse button on an experiment in the opening window enables one to Add Statistical Group Comparison.

In case of the allele-specific primer extension method, each SNP is represented by two spots, both putatively labeled (with the same fluorophore). The intensities of the two spots are measured and compared to each other to determine the genotype. The same methods can be used for both comparisons. 2). Values close to one represent the homozygote allele 1 genotype, and those close to zero represent the other homozygote genotypes (allele 2). 5) represent the heterozygote genotypes. A scatter plot can be formed having the values for P in the X-axis and logarithm of the total intensity as the Y-axis.

These methods are covered in more detail in the next chapter. ”. Statistical testing can also be viewed as hypothesis testing, where two different hypotheses are compared. For example, we can test whether cancer patients and their healthy controls differ statistically significantly for the expression of the gene X. 1 Basics of statistical testing A suitable statistical test can give us an answer to the questions above. In practise, statistical testing is divided into several substeps: 1. Select an appropriate statistical test.

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A bootastrap approach to non-parametric regression for right censored data by Li G., Datta S.


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