To publicly available transcriptomic data from clinical trial RV144. The advantage and the reason that miRNAs are expected to be better biomarkers than gene expression markers is that a single miRNA is capable of regulating many. Outperforms the traditional Lasso approach on both prognostic and predictiveīiomarker identification in various scenarios. In a comprehensive numerical evaluation, we show that PPLasso Remove the correlations between the biomarkers before applying the generalized Our method consists in transforming the design matrix to PPLasso also takes intoĪccount the correlations between biomarkers that can alter the biomarker We propose a novelĪpproach called PPLasso (Prognostic Predictive Lasso) integrating prognosticĪnd predictive effects into one statistical model. Genomic data where biomarkers are highly correlated. Simultaneously select prognostic and predictive biomarkers in high dimensional Genomic data in such an area is hardly studied. Researches were mainly focused on clinical characteristics, and the use of Used to identify patients with potential benefit from the treatment. A prognostic factor is defined as any parameter, evaluated at diagnosis (or surgery), which is associated with treatment outcome (disease-free interval. Prevention of the occurrence of the disease, and predictive biomarkers can be Prognostic biomarkers can be useful for the Download a PDF of the paper titled Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso, by Wencan Zhu and 2 other authors Download PDF Abstract: In clinical trials, identification of prognostic and predictive biomarkers isĮssential to precision medicine.
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