Browse our latest Computational and Systems Biology articles

A multidisciplinary approach sheds light on the fundamental mechanisms underlying social belief communication under uncertainty.

A computational framework allows the unsupervised analysis of samples from single cell data across conditions, inference of multicellular programs associated with disease, and meta-analysis of independent patient cohorts.

In this Special Issue we present a range of studies that showcase novel approaches that researchers are exploring to better decipher the link between genotype and phenotype.

Using a computational approach for designing object recognition tasks is beneficial to highlight the different strategies among different species.

A novel mathematical method for screening new drugs for pro-arrhythmic cardiotoxicity without using animals or costly drug-specific computer simulations is proposed.

Cross-species multiomics network modeling revealed tissue-specific regulatory genes, pathways, and networks shared between mouse and human or unique to each species for atherosclerosis and coronary artery disease.

A deep analysis of multiple genomic datasets reveals which genetic pathways associated with atherosclerosis and coronary artery disease are shared between mice and humans.

Candida albicans cells respond in two distinct ways to fluconazole exposure where cells enter the Ribo-dominant state characterized by an upregulation of ribosomal-related proteins and processes, or cells enter the Stress-dominant state characterized by the upregulation of stress responses.