Tag Archives: deep learning
Protein structure detection in intermediate-resolution cryo-EM maps using deep learning
Cryo-EM has established its position in structural biology as an indispensable method of choice for determining macromolecular structures due to recent technological breakthroughs. The recent years have observed a steep increase of biomolecular structures solved by cryo-EM,
Bayesian sparse neural networks for biomarker discovery with omics data
Recent advances in high-throughput biotechnologies, such as microarray and sequencing technologies, have provided an unprecedented opportunity for biomarker discovery, which potentially enhances the development of precision medicine. From a statistical point of view, the discovery of biomarkers
A novel deep learning-based method for predicting RNA-protein interactions
RNA-binding proteins (RBPs) take over 5–10% of the eukaryotic proteome and regulate the gene localization and translation. On the other hand, the mutations in RBPs have been discovered to be associated with disease risk, such as FUS
