The brain age gap (BAG)—the difference between the predicted and chronological age—does not describe the imaging patterns underlying such deviation. To characterize these patterns, we developed a semantic-guided mixture-of-experts model using multimodal imaging-derived phenotypes and their metadata. Global and local ex...
The continuous accumulation of genetic mutations in influenza A viruses (IAVs) drives antigenic drift, necessitating precise antigenic prediction for optimal vaccine strain selection. While sequence-based methods have advanced antigenic surveillance, they neglect the three-dimensional structural context that fundamenta...
Spatial transcriptomics reveals cellular heterogeneity, intercellular communication, and tissue organization, but its cost and limited accessibility restrict clinical use. Here, we present VISTA, a model that integrates multi-scale histological features and spatial context to infer spatial gene expression from H&E-stai...
Shaoqing Jiao, Zhen Yuan, Dazhi Lu et al.· bioRxiv· 0 citations
SpatialMOSI provides a critical computational foundation for constructing integrative 3D molecular atlases from complex multimodal spatial data sets and demonstrates SpatialMOSI's versatility across multiple biological systems, accurately identifying spatially conserved domains, imputing missing omic layers, and recons...
Peimeng Zhen, Han Shu, Bingtao Wang et al.· Genome Research· 0 citations
Case studies further validated predicted circRNA-drug associations, including cisplatin, enzalutamide, and sorafenib, against published experimental findings, demonstrating HMCDSP's capacity to reveal clinically relevant biomarkers and inform personalized therapeutic strategies.
Yong-Tian Wang, Wen-Kai Shen, Jiahao Li et al.· Interdisciplinary Sciences C...· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
