Browse our latest Computational and Systems Biology articles

With a data-driven mathematical modelling approach, within-host ecological information alone can provide clues on the mechanistic basis of diverse malaria infection outcomes.

Simple mathematical reasoning shows that the large amount of synaptic turnover seen in many parts of the brain is in fact optimal for memory retention.

Silencers and enhancers targeted by a common transcription factor in photoreceptors are distinguished by the number and diversity of binding transcription factor binding sites they contain.

A broadly applicable deep-learning based method that recognizes rod-shaped bacteria of virtually any species in complex bacterial communities.

Laboratory experiments using a microbial community and mathematical modeling reveal how environmental disturbances can predictably alter the diversity and composition of an ecosystem.

Funding inequalities for NIH-supported research project grant investigators and organizations have increased over the past 25 years, but have modestly decreased over the past 3 years.

PARROT makes it easy for anyone to train and use system- or data-specific deep learning models that map between protein sequence and arbitrary sequence annotations.

Mobile phone data reveal aspects of human mobility patterns in Sub-Saharan Africa missed by standard spatial models however, model estimates can be improved by accounting for trip urbanicity and region.

Chromatin/transcriptome profiling in multiple mouse models with mutations in epigenetic machinery (EM) reveals shared abnormalities including many IgA-relevant genes, indicating that this kind of joint analysis may elucidate the multigenic nature of EM disorders.

A neural network model with asymmetric synaptic interactions can store and retrieve multiple continuous memory sequences with their temporal structure.