Researchers at Princeton and the Simons Foundation turned the traditional approach on its head, teaching a machine learning algorithm to look for the genetic relationships that could cause autism.

Set up a supervised learning project, then develop and train your first prediction function using gradient descent in Java.

Researchers combined machine-learning with a genetic algorithm to overcome the limitations of existing methods to predict how an organism may be affected by a single base pair substitution.

Researchers have used machine learning to start making links between seemingly instinctive, random behaviors and genetic factors.

By examining changes in gene expression, researchers gain insights into how cells operate at a molecular level, which can ...

Moreover, their model outperformed more standard machine learning approaches, as well as autoencoder algorithms that were trained on just one of the imaging modalities.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

A new study finds rare neural stem cells in the adult human hippocampus, suggesting some brains can generate new neurons into old age.