comparison normalize.xml @ 10:0c4dcd3980c1 draft default tip

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author ynewton
date Sat, 20 Oct 2012 02:28:54 -0400
parents 277a79e23357
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9:600872152be6 10:0c4dcd3980c1
1 <tool id="matrix_normalize" name="Matrix Normalize" version="1.0.0"> 1 <tool id="matrix_normalize" name="Matrix Normalize" version="2.0.0">
2 <description>Matrix Normalize</description> 2 <description>Matrix Normalize</description>
3 <command interpreter="Rscript">normalize.r $genomicMatrix $normType $normBy 3 <command interpreter="Rscript">normalize.r $genomicMatrix $normType $normBy
4 #if str($controlColumnLabelsList) != "None": 4 #if str($controlColumnLabelsList) != "None":
5 $controlColumnLabelsList 5 $controlColumnLabelsList
6 #end if 6 #end if
48 5. Normal normalization: same as exponential normalization, but inverse quantile function of Normal distribution is applied. 48 5. Normal normalization: same as exponential normalization, but inverse quantile function of Normal distribution is applied.
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50 6. Weibull normalizations: same as exponential normalization, but inverse quantile function of Weibull distribution is applied with appropriate scale and shape parameters. 50 6. Weibull normalizations: same as exponential normalization, but inverse quantile function of Weibull distribution is applied with appropriate scale and shape parameters.
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53 Normals parameter is an optional parameter which contains a list of column headers from the input matrix which should be considered as normals 53 Normals/controls parameter is an optional parameter which contains either a list of column headers from the input matrix which should be considered as normals/controls, or a matrix of normal/control samples. The program is smart enough to distinguish between the two cases and will automatically process the normals/controls in a correct way. When specifying both the main expression matrix and the normals/controls matrix while performing column-wise normalization, the program will actually concatenate the two matrices and produce a combined matrix which contains both tumor and normal/control samples, in which samples are normalized.
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55 </help> 55 </help>
56 </tool> 56 </tool>