This mode is used to perform univariate feature selection with T-Test. We compare each feature individually for evidence of differential distribution in the two prediction classes. If the T-Test p-Value is less than the confidence interval, then the feature is selected as an informative biomarker.
It is implemented by org.bdval.DiscoverWithTTest.java.
Mode Parameters
The following options are available in this mode
| Flag | Arguments | Required | Description |
|---|---|---|---|
(-n | --alpha) | alpha | no | The significance level for the univariate T-test p-value. Default is 0.05 / 5% confidence level. |
--output-gene-list | n/a | no | Write features to the output in the tissueinfo gene list format. |
--report-max-probes | report-max-probes | no | Restrict output to the top ranked probes. This option works in conjunction with alpha and can further restrict the output. |
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