This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Metabolic and regulatory networks may be expanded by coupling high-throughput phenotyping and gene expression data with the predictions of a computational model. (Reprinted with permission, Nature, ...

R-loops are structures that form when a strand of RNA (red) forms a stable structure with double-stranded DNA, causing one strand of the DNA to form a loop. R-loops are associated with gene ...

A new predictive AI system has been developed to predict gene activity in human cells with high precision. Researchers at Columbia University Vagelos College of Physicians and Surgeons, led by Raul ...

Though almost every cell in your body contains a copy of each of your genes, only a small fraction of these genes will be expressed, or turned on. These activations are controlled by specialized ...

An artificial intelligence tool, scGPT, can identify cell types, predict the effects of disrupting genes, and pinpoint which genes interact with each other. Bo Wang, a computational biologist, and his ...

It's a common storytelling trope: the stubborn foe who is eventually revealed to be a much-needed friend. Biology has its own version. Cornell researchers have discovered that DNA packaging structures ...

In a step forward in the development of genetic medicines, researchers have developed a proof-of-concept model for delivering gene editing tools to treat blood disorders, allowing for the modification ...

Researchers have identified specific coupled patterns of brain activity and gene expression that help explain impulsive behavior in children with attention deficit hyperactivity disorder. By analyzing ...