Unlocking the Secrets of Joint circRNA-RBP Sites with Deep Learning
Scientists have recently made a breakthrough in circRNA research. A joint research team from the University of California, San Diego and the Chinese Academy of Sciences has developed a new deep learning-based method for predicting circRNA-RBP binding sites. This method, named DeepCRISPR, can effectively detect the binding sites accurately and efficiently, and can be applied to various species. This new method could help researchers better understand the regulatory roles of circRNAs in gene expression and provide a powerful tool for circRNA-based therapies.
source: Phys.org