MicroRNA Signatures to Detect and Classify Several Prominent Cancers (IMAGE)

Florida Atlantic University

MicroRNA Signatures to Detect and Classify Several Prominent Cancers

Caption

Cancers originating from different primary sample sites have specific patterns of miRNA expression, as revealed by principal component analysis, a popular technique for analyzing large datasets. These patterns allow for the highly accurate classification of cancer types by machine learning models.

Credit

Florida Atlantic University

Usage Restrictions

Credit: Florida Atlantic University

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.