Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a natural
product class that has undergone significant expansion due to the rapid growth in genome …

Maintaining metabolic homeostasis is essential for cellular and organismal health
throughout life. Multiple signaling pathways that regulate metabolism also play critical roles …

Precision medicine relies on validated biomarkers with which to better classify patients by
their probable disease risk, prognosis and/or response to treatment. Although …

Recently, feature selection and dimensionality reduction have become fundamental tools for
many data mining tasks, especially for processing high-dimensional data such as gene …

The high mobility group protein 2 (HMGA2) regulates gene expression by binding to AT-rich
regions of DNA. Akin to other DNA architectural proteins, HMGA2 is highly expressed in …

The sirtuins (SIRTs; of which there are seven in mammals) are NAD+-dependent enzymes
that regulate a large number of cellular pathways and forestall the progression of ageing …

Microarray data classification is a difficult challenge for machine learning researchers due to
its high number of features and the small sample sizes. Feature selection has been soon …

Unsupervised class discovery is a highly useful technique in cancer research, where
intrinsic groups sharing biological characteristics may exist but are unknown. The …

Although genomewide RNA expression analysis has become a routine tool in biomedical
research, extracting biological insight from such information remains a major challenge …

Characteristic patterns of gene expression measured by DNA microarrays have been used
to classify tumors into clinically relevant subgroups. In this study, we have refined the …