Wei Zhang

This study identifies and validates noncanonical circRNAs in lung cancer, showing they are abundant, functional, and clinically relevant.

This paper introduces a random forest-based method for multi-omics integration that separates shared and modality-specific signals, showing improved clustering and biological insights in simulations and real datasets.

The paper identifies a dichotomy in killer-cell dominance in tumors, distinguishing between exhausted CD8+ T cells and CD56dimCD16hi NK cells, and shows its impact on immunotherapy response.

This study reveals the atomic structure of the arterivirus DMV pore complex, showing structural conservation with coronavirus counterparts despite differences in genome size and morphology.

The paper shows that using only sequence similarity for gene family clustering in pangenomes can lead to biased evolutionary inferences and recommends a two-step approach combining graph-based orthogroup inference with sequence similarity refinement.

The paper identifies a non-canonical glucose metabolic pathway involving GLUT6 that contributes to resistance to cancer targeted therapies in lung cancer.

This study shows that n-3 PUFA reduces myocardial infarction damage by modulating adiponectin-ceramide metabolism, with no significant difference between triglyceride and phospholipid forms.

The paper introduces the Chinese Glioma Genome Atlas (CGGA), a resource providing genomic and clinical data for glioma patients, along with analysis tools for data exploration and research.

This study identifies MET gene alterations in gliomas and shows that these alterations are associated with better response to MET inhibitors.