Mercurial > repos > ynewton > matrix_normalization
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 |
| children |
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| 9:600872152be6 | 10:0c4dcd3980c1 |
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| 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. |
| 49 | 49 |
| 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. |
| 51 | 51 |
| 52 | 52 |
| 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. |
| 54 | 54 |
| 55 </help> | 55 </help> |
| 56 </tool> | 56 </tool> |
