vsn2 fits the vsn model to the data in x and returns a vsn object with the fit parameters and the transformed data matrix. The data are, typically, feature intensity readings from a microarray, …

Differences between transformed intensities are analogous to "normalized log-ratios". However, in contrast to the latter, their variance is independent of the mean, and they are usually more …

2024年10月29日 · VSN is a method to preprocess microarray intensity data. This can be as simple as. where kidney is an ExpressionSet object with unnormalised data and xnorm the …

VSn2 is Khatyrkite-like structured and crystallizes in the orthorhombic Fddd space group. The structure is three-dimensional. V is bonded in a 10-coordinate geometry to two equivalent V …

The main function of the package is vsn2. Interesting for its applications are also predict and the wrapper function justvsn. vsn2 can be applied to objects of class ExpressionSet, …

The main function of the package is vsn2. Interesting for its applications are also predict and the wrapper function justvsn. vsn2 can be applied to objects of class ExpressionSet, …

1994年8月1日 · Our present structure refinements of VSn2, NbSn2 and CrSn2 unambigously establish the composition 1:2 also for these compounds. In addition, we confirm the CuA12 …

2020年11月8日 · vsn2 fits the vsn model to the data in x and returns a vsn object with the fit parameters and the transformed data matrix. The data are, typically, feature intensity readings …

An object of class vsn that contains transformation parameters and strata information, typically this is the result of a previous call to vsn2. newdata: Object of class ExpressionSet, …

2020年11月8日 · The package implements a method for normalising microarray intensities, and works for single- and multiple-color arrays. It can also be used for data from other …