Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

What is principal component analysis? | Nature Biotechnology Skip to main content Thank
you for visiting nature.com. You are using a browser version with limited support for CSS. To …

Nutrition exerts considerable effects on health, and dietary interventions are commonly used
to treat diseases of metabolic aetiology. Although cancer has a substantial metabolic …

It has unambiguously been shown that genetic, environmental, demographic, and technical
factors may have substantial effects on gene expression levels. In addition to the measured …

One of the challenges of bioinformatics is to develop effective ways to analyze global gene
expression data. A rigorous approach to gene expression analysis must involve an up-front …

Motivation: The molecular complexity of a tumor manifests itself at the genomic, epigenomic,
transcriptomic and proteomic levels. Genomic profiling at these multiple levels should allow …

Principal components analysis and, more generally, the Singular Value Decomposition are
fundamental data analysis tools that express a data matrix in terms of a sequence of …

The merging of network theory and microarray data analysis techniques has spawned a new
field: gene coexpression network analysis. While network methods are increasingly used in …

Motivation: There is a great need to develop analytical methodology to analyze and to
exploit the information contained in gene expression data. Because of the large number of …

The success of new scientific areas can be assessed by their potential in contributing to new
theoretical approaches and in applications to real-world problems. Complex networks have …