A new study in Science Bulletin presents DVSTP, a deep learning system that integrates pathology images with spatial ...

An effective and efficient method for joint analyses of multiple spatial transcriptomics datasets. We develop INSPIRE, a deep learning-based method for integrating and interpreting multiple spatial ...

stLearn is designed to comprehensively analyse Spatial Transcriptomics (ST) data to investigate complex biological processes within an undissociated tissue. ST is emerging as the “next generation” of ...

Throughout our lifetime, each beat of the heart requires the coordinated action of multiple cardiac cell types. Understanding cardiac cell biology, its intricate microenvironments, and the mechanisms ...

Since their early association with atopic disease, granulocytes, particularly eosinophils, have been widely used as biomarkers, yet the mechanisms underlying their role in airway and atopic ...

The complex landscape of cardiovascular diseases encompasses a wide range of related pathologies arising from diverse molecular mechanisms and exhibiting heterogeneous phenotypes. This variety of ...

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NASA collects vast quantities of data about stars, planets and other objects, the Sun, our Earth, and even cells! This information is stored in a number of topical archives. Here we collect together ...

Unveiling RNA Modifications: High-throughput Sequencing Approaches to Chart the Epitranscriptome and Dissect Its Role in Gene Expression ...