Background High-throughput measurement technologies such as microarrays provide
complex datasets reflecting mechanisms perturbed in an experiment, typically a treatment …

Next-generation sequencing approaches and genome-wide studies have become essential
for characterizing the mechanisms of human diseases. Consequently, many researchers …

Motivation: Molecular profiles of tumour samples have been widely and successfully used
for classification problems. A number of algorithms have been proposed to predict classes of …

Molecular networks represent the interactions and relations of genes/proteins, and also
encode molecular mechanisms of biological processes, development and diseases. Among …

Deregulation of cell signaling pathways plays a crucial role in the development of tumors.
The identification of such pathways requires effective analysis tools that facilitate the …

Gene expression data provide the expression levels of tens of thousands of genes from
several hundred samples. These data are analyzed to detect biomarkers that can be of …

Motivation: Metastasis prediction is a well-known problem in breast cancer research. As
breast cancer is a complex and heterogeneous disease with many molecular subtypes …

Disease progression in cancer can vary substantially between patients. Yet, patients often
receive the same treatment. Recently, there has been much work on predicting disease …

Background Mining novel biomarkers from gene expression profiles for accurate disease
classification is challenging due to small sample size and high noise in gene expression …

Discovery of prognostic and diagnostic biomarker gene signatures for diseases, such as
cancer, is seen as a major step towards a better personalized medicine. During the last …