Generating valid predictions of RNA secondary structures is challenging. Several deep learning methods have been developed for predicting RNA secondar…

Spatial transcriptomics techniques, which map gene activity in intact tissues, often face challenges in accurately identifying distinct tissue regions. Now, researchers from Japan have developed STAIG...

Spatial transcriptomics maps gene expression in tissues to study cellular interactions. Here, authors introduce STAIG, a deep-learning model that integrates multimodal data without pre-alignment, remo...