Gene co-expression networks can be used to associate genes of unknown function with
biological processes, to prioritize candidate disease genes or to discern transcriptional …

Systematic perturbation of cells followed by comprehensive measurements of molecular and
phenotypic responses provides informative data resources for constructing computational …

Understanding the contribution of the host's genetic background to cancer immunity may
lead to improved stratification for immunotherapy and to the identification of novel …

Abstract Enolase 2 (ENO2) is a key glycolytic enzyme in the metabolic process of glycolysis,
but its potential function in pancreatic ductal adenocarcinoma (PDAC) is unclear. In this …

In the dynamic landscape of targeted therapeutics, drug discovery has pivoted towards
understanding underlying disease mechanisms, placing a strong emphasis on molecular …

To cope with sudden changes in the external environment, the budding yeast
Saccharomyces cerevisiae orchestrates a multifaceted response that spans many levels of …

Networks can resolve many analytical problems in proteomics, including incomplete
coverage and inconsistency. Despite high expectations, network-related research in …

Signal transduction networks are often rewired in cancer cells. Identifying these alterations
will enable more effective cancer treatment. We developed a computational framework that …

Large independent analyses on cancer cell lines followed by functional studies have
identified Schlafen 11 (SLFN11), a putative helicase, as the strongest predictor of sensitivity …

Drug discovery is a very expensive and time-consuming endeavor. Fortunately, recent omics
technologies and Systems Biology approaches introduced interesting new tools to achieve …