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 ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer ...

For instance, last week, the company mitigated another machine-learning issue that mistakenly flagged Adobe emails in Exchange Online as spam.

"We've determined our machine learning (ML) model, which safeguards Exchange Online against risky email messages, was incorrectly identifying legitimate email messages as spam due to their ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

This project leverages advanced machine learning algorithms to detect and classify malicious emails, focusing on spam and phishing threats. As email threats grow more sophisticated, accurate detection ...

Objective The primary goal is to apply various machine learning algorithms (Naïve Bayes, Support Vector Machines, Logistic Regression, Random Forest, and K-Nearest Neighbors) to address the SMS spam ...