Browse our latest Computational and Systems Biology articles

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based epigenome editing.

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity information.

Collective frequency-selective resonance in depolarised cardiac tissue enables reversible switching between quiescent and ectopic oscillations through hidden bi-stability, which is shaped by light intensity, illuminated area, and pacing frequency.

The morphogenesis of brain folding patterns across species is studied by physical gel models, simulations, and a quantitative morphometric analysis.

In spontaneous intracerebral hemorrhage patients, features of hematoma expansion can be visualized and predicted from non-contrast computed tomography using transport-based morphometry.

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and artificial neural networks.