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 …

A common challenge in the analysis of genomics data is trying to understand the underlying
phenomenon in the context of all complex interactions taking place on various signaling …

Coronavirus disease 2019 (COVID-19) represents a global crisis, yet major knowledge
gaps remain about human immunity to severe acute respiratory syndrome coronavirus 2 (SARS-…

We describe cell type–specific significance analysis of microarrays (csSAM) for analyzing
differential gene expression for each cell type in a biological sample from microarray data and …

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal human cancers and
shows resistance to any therapeutic strategy used. Here we tested small-molecule inhibitors …

Immune responses generally decline with age. However, the dynamics of this process at the
individual level have not been characterized, hindering quantification of an individual’s …

Independent of the platform and the analysis methods used, the result of a microarray
experiment is, in most cases, a list of differentially expressed genes. An automatic ontological …

Motivation: Gene expression class comparison studies may identify hundreds or thousands
of genes as differentially expressed (DE) between sample groups. Gaining biological insight …

The emergency use authorization of two mRNA vaccines in less than a year from the emergence
of SARS-CoV-2 represents a landmark in vaccinology 1 , 2 . Yet, how mRNA vaccines …

DNA microarrays enable researchers to monitor the expression of thousands of genes
simultaneously. However, the current technology has several limitations. Here we discuss …