Gene regulation is far more predictable than previously believed, scientists conclude after developing the deep learning ...

By combining large-scale experiments with deep learning, researchers built a lightweight model that deciphers how regulatory DNA controls gene activity.

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.

Gene regulation is far more predictable than previously believed, scientists conclude after developing deep learning model ...

This screenshot of the PARM model shows one of the genes described in the Nature paper (APOC2). Several DNA-letters standing ...

Google DeepMind announced it was making AlphaGenome’s source code and weights available to the science community for ...

On Wednesday, Google's DeepMind AI research lab announced AlphaGenome, an AI model designed to identify disease markers in large volumes of genetic data. It's badly needed in a field that has produced ...

T cells sit at the center of modern immunotherapy, yet many of the rules that govern their activation, differentiation, dysfunction (e.g., exhaustion), and ...

Scientists identified 473 human genes that act as genetic “on/off switches,” shaping disease risk through tissue-specific or universal patterns regulated by DNA changes and hormones. Study: ...

Gene regulation is far more predictable than previously believed, scientists conclude after developing deep learning model PARM. This might bring an end to a scientific mystery: how genes know when to ...