comparison imputation.xml @ 2:caba07f41453 draft default tip

"planemo upload for repository https://github.com/secimTools/SECIMTools/tree/main/galaxy commit 498abad641099412df56f04ff6e144e4193bbc34-dirty"

1:2e7d47c0b027

**Tool Description**

The tool performs an imputation procedure for missing data based on three conceptually different methods:

(1) naive imputation (mean, median),
(2) K-nearest neighbor imputation (KNN) and
(3) stochastic imputation (based on normal and Poisson distributions)

Imputations are performed separately for each sample group since treatment groups are expected to be different.
If only a single sample (column) is available for a given group, nothing is imputed and the sample is kept intact.
An option to select which values should be treated as missing is included.
The default value for missing data is an empty cell in the dataset with the option to treat zeroes, negative values and user-defined value(s) as missing and subsequently impute missing values.

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**Output**

TSV file containing the same column names as the original Wide Dataset where the values in each cell correspond to either the original values or to values obtained during the imputation procedure.


    ]]></help>
    <expand macro="citations"/>
</tool>

2:caba07f41453

**Tool Description**

The tool performs an imputation procedure for missing data based on three conceptually different methods:

(1) Naive imputation (mean, median)
(2) K-nearest neighbor imputation (KNN) 
(3) Stochastic imputation (based on normal and Poisson distributions)

Imputations are performed separately for each sample group since treatment groups are expected to be different.
If only a single sample (column) is available for a given group, nothing is imputed and the sample is kept intact.
An option to select which values should be treated as missing is included.
The default value for missing data is an empty cell in the dataset with the option to treat zeroes, negative values and user-defined value(s) as missing and subsequently impute missing values.

--------------------------------------------------------------------------------

**Output**

TSV file containing the same column names as the original Wide Dataset, where the values in each cell correspond to either the original values or to values obtained during the imputation procedure.


    ]]></help>
    <expand macro="citations"/>
</tool>