Workflow from Scientific Research
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Approach for TIME driver identification. Interactions between damaging alterations in cancer-specific drivers and TIME features were assessed in 32 TCGA cancer types using Lasso-regularised ordinal regression. Regressions were computed separately for canonical and candidate drivers and TIME features in each cancer type. (beta >) 0 and (beta <) 0 indicated that altered cancer drivers were predictive of medium/high or medium/low TIME levels, respectively.
#Workflow#Illustration#Table Image#TIME Drivers#TCGA Cancer Types#Lasso-regularised Ordinal Regression#Cancer Drivers#TIME Features
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