Pathway analysis has become the first choice for gaining insight into the underlying biology
of differentially expressed genes and proteins, as it reduces complexity and has increased …

Pathway analysis is a set of widely used tools for research in life sciences intended to give
meaning to high-throughput biological data. The methodology of these tools settles in the …

Identifying the multiple dysregulated oncoproteins that contribute to tumorigenesis in a given
patient is crucial for developing personalized treatment plans. However, accurate inference …

Competitive gene set tests are commonly used in molecular pathway analysis to test for
enrichment of a particular gene annotation category amongst the differential expression …

Functional analysis of large gene lists, derived in most cases from emerging high-throughput
genomic, proteomic and bioinformatics scanning approaches, is still a challenging and …

Background Gene set analysis (GSA) is a widely used strategy for gene expression data
analysis based on pathway knowledge. GSA focuses on sets of related genes and has …

In this review, we discuss new insights in cell wall architecture and cell wall construction in
the ascomycetous yeast Saccharomyces cerevisiae. Transcriptional profiling studies …

Motivation: In high-throughput genomic and proteomic experiments, investigators monitor
expression across a set of experimental conditions. To gain an understanding of broader …

Recently developed gene set analysis methods evaluate differential expression patterns of
gene groups instead of those of individual genes. This approach especially targets gene …

The discovery of pathways and regulatory networks whose perturbation contributes to
neoplastic transformation remains a fundamental challenge for cancer biology. We show …