This paper introduces DeepSpaCE, a deep-learning tool designed to enhance spatial transcriptomics by predicting gene-expression profiles from standard histological images. Traditional spatial gene mapping is often hindered by high experimental costs and technical errors, such as permeabilization issues that leave gaps in tissue data. By utilizing convolutional neural networks, this method enables ...去小宇宙查看完整单集简介
前往小宇宙评论区与主播互动