New Tool SQUID Enhances AI Interpretability in Genomics

Cold Spring Harbor Laboratory's SQUID offers clearer insights into AI decision-making, improving genetic mutation predictions.

SQUID stands for Surrogate Quantitative Interpretability for Deepnets, developed by CSHL scientists.
It leverages quantitative genetics knowledge to interpret AI models analyzing the genome.
SQUID generates a library of over 100,000 variant DNA sequences for analysis.
The tool uses MAVE-NN to perform thousands of virtual experiments, identifying accurate predictive algorithms.
SQUID aims to aid biologists in forming hypotheses and understanding genomic functions more effectively.