CRISPR: Ensemble Model

arXiv:2403.03018v1 Announce Type: new
Abstract: Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) is a gene editing technology that has revolutionized the fields of biology and medicine. However, one of the challenges of using CRISPR is predicting the on-target efficacy and off-target sensitivity of single-guide RNAs (sgRNAs). This is because most existing methods are trained on separate datasets with different genes and cells, which limits their generalizability. In this paper, we propose a novel ensemble learning method for sgRNA design that …

abstract arxiv biology challenges crispr cs.lg datasets editing ensemble fields gene guide medicine q-bio.gn sensitivity technology type