Cancer classification is the critical basis for patient-tailored therapy, while pathway analysis
is a promising method to discover the underlying molecular mechanisms related to cancer …

Motivation: The accurate prediction of disease status is a central challenge in clinical cancer
research. Microarray-based gene biomarkers have been identified to predict outcome and …

Biological pathways play important roles in the development of complex diseases, such as
cancers, which are multifactorial complex diseases that are usually caused by multiple …

Cancers, a group of multifactorial complex diseases, are generally caused by mutation of
multiple genes or dysregulation of gene interactions. Applying machine learning methods to …

Background Cancers, a group of multifactorial complex diseases, are generally caused by
mutation of multiple genes or dysregulation of pathways. Identifying biomarkers that can …

Motivation: By capturing various biochemical interactions, biological pathways provide
insight into underlying biological processes. Given high-dimensional microarray or RNA …

One important problem in translational genomics is the identification of reliable and
reproducible markers that can be used to discriminate between different classes of a …

Accurate predictions of classification biomarkers and disease status are indispensable for
clinical cancer diagnosis and research. However, the robustness of conventional gene …

The occurrence of cancer is closely related to the deregulation of certain pathways. Based
on pathway deregulation scores (PDS) inferred by the Pathifier algorithm, we analyzed …

As the complexity and heterogeneity of cancer is being increasingly appreciated through
genomic analyses, microarray-based cancer classification comprising multiple …