Quantum biological insights into CRISPR-Cas9 sgRNA efficiency from explainable-AI driven feature engineering.CRISPR-Cas9 tools have transformed genetic manipulation capabilities in the laboratory.  These features highlight variation in CRISPR-Cas9 sgRNA dynamics between E. coli and H. sapiens genomes.  These novel encodings of sgRNAs enhance our understanding of the elaborate quantum biological processes involved in CRISPR-Cas9 machinery.
CRISPR-Cas9
Feature engineering for sgRNA efficiency is performed using an explainable-artificial intelligence model: iterative Random Forest (iRF). 
Random Forest