New method tracks the 'learning curve' of AI to decode complex genomic data

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain vast amounts of annotated samples, but many of these samples are annotated either incorrectly or ambiguously. Borrowing from recent advances in the fields of natural language processing and computer vision, the team used artificial neural networks (ANNs) in a non-conventional way:

from Breaking World Pharma News https://ift.tt/7486Wm9