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.

For decades, biologists have known that the instructions for life are written in DNA, yet the vast majority of those letters seemed to sit in the dark, doing little that was obvious. Now a new ...

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

Google DeepMind's new model deciphers how hidden DNA changes drive disease, predicting gene regulation effects with high ...

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 ...

Cells are constantly on the move, whether in a developing embryo or metastatic cancer. But how do cells adapt to new environments they encounter? Traditionally, scientists have believed that cells ...

Researchers have created the first complete map showing how hundreds of mutations in a key cancer gene affect tumor growth.

CHARGE syndrome is a complex congenital disorder that presents with a spectrum of multisystem anomalies, including ocular coloboma, choanal atresia, congenital heart defects, and ear malformations, as ...

A team led by UC Davis poultry scientist Huaijun Zhou has created the first comprehensive map of gene regulation in breeds of chickens. The map could be a resource for finding resistance to H5N1 ...

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 ...