The introduction of technologies such as mass spectrometry and protein and DNA arrays,
combined with our understanding of the human genome, has enabled simultaneous …

The ability of physicians to effectively treat and cure cancer is directly dependent on their
ability to detect cancers at their earliest stages. Proteomic analyses of early-stage cancers …

Feature selection is an important component of many machine learning applications.
Especially in many bioinformatics tasks, efficient and robust feature selection methods are …

MicroRNAs (miRNAs) are short RNA molecules which bind to target mRNAs, resulting in
translational repression and gene silencing and are found in all eukaryotic cells …

To evaluate the role of oncogenic RAS mutations in pancreatic tumorigenesis, we directed
endogenous expression of KRAS G12D to progenitor cells of the mouse pancreas. We find …

Robustness or stability of feature selection techniques is a topic of recent interest, and is an
important issue when selected feature subsets are subsequently analysed by domain …

Proteomics is the study of the function of all expressed proteins. Tremendous progress has
been made in the past few years in generating large-scale data sets for protein–protein …

Systems approaches to disease are grounded in the idea that disease-perturbed protein
and gene regulatory networks differ from their normal counterparts; we have been pursuing …

High-dimensional data in many areas such as computer vision and machine learning tasks
brings in computational and analytical difficulty. Feature selection which selects a subset …

The emergence of systems biology is bringing forth a new set of challenges for advancing
science and technology. Defining ways of studying biological systems on a global level …