Minghao Xu

The paper develops 3DisoGalaxy to study alternative splicing in breast cancer, finding that many transcripts produce translation-supported proteins and that functional divergence is concentrated in specific regions.

This study optimizes co-transcriptional in vitro transcription (co-IVT) to achieve high mRNA yield and quality, reducing impurities and improving production efficiency for therapeutic applications.

This study develops a framework for predicting protein function and domain annotation at isoform resolution using structural and sequence data, showing strong performance in benchmark tests and capturing domain changes across isoforms.

MetaGXplore uses graph convolutional networks to predict tumor metastasis likelihood and identify key genes across pan-cancer multi-omics data.