… 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 …

… from the integrative DNN. We also demonstrated … prognostic performance for survival
analysis. This highlights the benefit of integrating microarray and clinical data via our integrative …

… with a non-parametric bootstrapping procedure using survival … We took an integrated
approach to capture a complete … prognosis was found, although in another microarray analysis it …

… for the treatment of oncologic diseases. To facilitate cancer … non-parametric methods
Clin Cancer Res. 18:3677–85, 2012 … of Microarrays SAM samr (sam) The SAM is non-parametric …

… -making process in the diagnosis and clinical management of … This technique has been
successfully applied to microarray … Kernel methods are powerful nonparametric modeling tools …

… such as diseases prediction and diagnosis, cancer study and … a comprehensive survey
of studies on microarray cancer … actually survey the comprehensive approaches employed. …

… The proposed methods have been used to analyze data from the … protein arrays–based
high-quality protein expression data as well as detailed clinical annotation, including survival …

… may support rational, personalized planning of disease prevention or treatment. … microarray
gene expression profiling of lung or airway tissue from subjects with COPD obtained using …

… The antibody breadth score is the count of reactive antigens and they were compared using
Poisson regression. Statistical analyses, both parametric and non-parametric tests, were …

… by means of protein microarray and their serum level … protein microarray is an efficient
approach in discovering novel TAAbs which could be used as biomarkers in lung cancer diagnosis…