This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive ...

Since it’s impractical to study interactions among all 20,000 genes, they used a technique called causal disentanglement to combine related gene groups into a model that simplifies cause-and ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Researchers analyzed 4,390 genes included across 27 NBSeq programs, identifying key factors influencing gene inclusion. While the number of genes analyzed by each program ranged from 134 to 4,299 ...

First, the team built a machine-learning model to simulate how genes regulate each other in a cell. From there, they used large-scale selection experiments, known as genetic screens, to identify ...

High-dimensional interaction models have important applications in many scientific fields, especially in genetic research and medical studies. As in high-dimensional main-effect models, feature ...

To safely and precisely correct mutations that cause genetic diseases, genome editing technology must be programmed to target patient-specific sequences while limiting off-target effects. Cas ...