Artificial intelligence is increasingly used in genomics to sift through vast amounts of genome data to identify potential therapeutic targets, despite the opaque nature of AI decision-making. To address this, Cold Spring Harbor Laboratory scientists have developed SQUID , a tool designed to enhance the interpretability of AI models in genomics.
“The tools that people use to try to understand these models have been largely coming from other fields like computer vision or natural language processing. While they can be useful, they’re not optimal for genomics. What we did with SQUID was leverage decades of quantitative genetics knowledge to help us understand what these deep neural networks are learning,” explains Koo.
SQUID works by first generating a library of over 100,000 variant DNA sequences. It then analyzes the library of mutations and their effects using a program called MAVE-NN . This tool allows scientists to perform thousands of virtual experiments simultaneously. In effect, they can “fish out” the algorithms behind a given AI’s most accurate predictions. Their computational “catch” could set the stage for experiments that are more grounded in reality.
Technology Technology Latest News, Technology Technology Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Source: IntEngineering - 🏆 287. / 63 Read more »