AlphaMissense works not by predicting the change in protein structure upon mutation, but by leveraging databases of related protein sequences and structural context of variants to produce a score.

In recent years, machine ... understand the structure, properties and possible anomalies of the collected data set before applying it to the algorithm. • Choose the correct learning model.

Now that you have a solid foundation in Supervised Learning, we shift our attention to uncovering the hidden structure from unlabeled data ... and a Jupyter notebook lab/Peer Review to implement the ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms ... GMM (Gaussian Mixture Models), and HAC (Hierarchical Agglomerative Clustering).

Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA ...