New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
Nature

Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer

Aflatoxin B1 (AFB1), a known mycotoxin and environmental hazard, has been linked to breast cancer, yet the exact biological pathways remain poorly characterized. We performed a comprehensive ...
Nature

Decision tree-based machine learning methods for identifying colorectal cancer-associated microRNA signatures and their regulatory networks

This study aimed to identify candidate diagnostic miRNAs from the serum of colorectal cancer (CRC) patients using Boruta, a wrapper-based feature selection technique, in combination with decision tree ...
EurekAlert!

Machine learning identifies antimicrobial peptide candidate for ulcerative colitis

The graph was created with BioRender.com. AMP, antimicrobial peptide; DSS, dextran sulfate sodium; ZO-1, zonula occludens-1. Ulcerative colitis (UC) is a chronic inflammatory bowel disease ...