… have been developed that address the problem of disease diagnosis. Here, we report an
integrated approach to the problem of prognosis that uses protein microarrays to measure a …

… (c) the integration of RNA-seq and microarray expression profiles … Overall, integrative
approaches performed better in … have reported to affect treatment response in Glioblastoma [66]; …

… models approach with nonparametric method GSEA and parametric method PAGE using a
… 1, two sets of 50 microarray samples were simulated for treatment and control groups. Each …

… This review focuses on protein microarray applications for biomarker discovery and validation…
An integrated approach to prognosis using protein microarrays and nonparametric methods…

… rank-based non-parametric statistical testing approach in which proteins eliciting significant
… have utility in cancer diagnosis, in establishing prognosis and in targeted immunotherapy …

… evaluating treatment efficacy and predicting patient outcome. … This non-parametric method
for marker selection was chosen so … This integrative approach can yield a signature of distinct …

… expression of 86 proteins was evaluated and the results were analysed by non-parametric
tests, hierarchical … At present, clinical stage is the most important prognostic indicator. Tissue …

… the tools and methods that adopt integrative approach to analyze … This method uses a
Bayesian nonparametric model (… of integrative approach that helps in advancement of treatment …

… We introduce a simple, non-parametric method with … from one sample, and using multiple
arrays, expression levels in … quantitative and survival outcomes. The major strength of our …

… concentration of each protein on the x-axis using the non-parametric, monotone increasing
B-… c overall survival using the reverse phase protein array (RPPA) signature shown in Fig. 9c …