Browse our latest Computational and Systems Biology articles

A meta-analysis of single-cell data reveals an advanced and conserved polarisation state of SPP1⁺ macrophages in multiple human fibrotic tissues.

Single-cell data on cell signaling responses to nutrient variation enable quantitative models of cellular control over protein synthesis, formalizing the concept of mTOR as a homeostatic controller of cellular metabolism.

Large-scale screens and computational approaches reveal phenotypes for 3492 genes and gene-ontology predictions for 783 genes, including hitherto unstudied genes, which provides a potent platform to further dissect protein function.

Classical theoretical approaches to studying the cerebellar cortex are generalized to a broader set of learning tasks, revealing that the optimal value for the sparsity of granule cell activity is task-dependent.

A novel integrative biological and psychological mechanistic explanation links cognitive processes and neurotransmitters across human development and establishes their involvement in intelligent behavior.

Dimensions for reinforcement learning reduced by dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components.

An interpretable machine learning approach can recapitulate the molecular features associated to immune protein-protein binding and leverage them for the prediction of immune response specificity.

High proportions of gut bacteria that produce their own food can be an indicator for poor gut health.

A near-linear relationship between electrical stimulus duration and resultant joint torque in stick insects has been unveiled, enhancing control strategies in biohybrid robotics.