Browse our latest Computational and Systems Biology articles

Human-like color categories emerge in a Deep Neural Network trained only on object recognition.

An example of a deep learning-based strategy to discover novel protein-protein interactions and predict their complex structures at high accuracy.

Combining transcriptomic data with the analysis of large genome-wide association studies helps identify genes that are likely important for regulating bone mineral density.

In environments that fluctuate over the course of deliberation, optimal decision strategies display novel dynamics that can explain human response behaviors better than commonly used alternatives.

A large-scale single-cell RNA sequencing experiment explores single-cell dynamics in epithelial and immune populations within murine prostates upon cancer initiation and progression and validates key findings across orthogonal models and patient specimens.

The calibration of decision thresholds will provide evidence for the optimal use of in silico predictors for the standardised classification of globin gene variants under the American College of Medical Genetics and Genomics/Association for Molecular Pathology framework.

Damage and repair for both aging mice and humans declined with age, exhibited very long timescales that varied across health attributes, and were differently affected by interventions.

A unified framework for cell lineage statistics enables quantification of fitness landscapes and selection strength for any cellular lineage traits in a model-independent manner, and reveals the contributions of growth heterogeneity to population growth in diverse experimental model systems.

A combination of mathematical modeling and live-cell imaging reveals a strategy for the rational control over cell electrophysiology though modulation of ion channel expression.

Proteomics uncovers thus far unknown age and sex differences in sciatic nerve and skin of naïve mice, highlighting the importance of adequate age matching and parallel investigation of male and female mice in biomedical studies.