Because cancer has heterogeneous clinical behaviors due to the progressive accumulation
of multiple genetic and epigenetic alterations, the identification of robust molecular …

Motivation Identification of genes that can be used to predict prognosis in patients with
cancer is important in that it can lead to improved therapy, and can also promote our …

Individual gene expression and molecular pathway activation profiles were shown to be
effective biomarkers in many cancers. Here, we used the human interactome model to …

Predicting the clinical outcomes of cancer patients is a challenging task in biomedicine. A
personalized and refined therapy based on predicting prognostic outcomes of cancer …

Identification of biomarkers is an emerging area in oncology. In this article, we develop an
efficient statistical procedure for the classification of protein markers according to their effect …

In Europe more than 3 million individuals develop a malignancy annually. Despite recent
progress in screening, diagnosis and therapy of most cancers, prognosis remains poor and …

Background We explore the benefits of applying a new proportional hazard model to
analyze survival of breast cancer patients. As a parametric model, the hypertabastic survival …

Identifying biomarkers to predict the clinical outcomes of individual patients is a fundamental
problem in clinical oncology. Multiple single-gene biomarkers have already been identified …

Motivation: Survival prediction of breast cancer (BC) patients independently of treatment,
also known as prognostication, is a complex task since clinically similar breast tumors, in …

Motivation: Patient outcome prediction using microarray technologies is an important
application in bioinformatics. Based on patients' genotypic microarray data, predictions are …