Tingbo Guo

MetaKnogic-Alpha transforms biomedical literature into a hyper-relational knowledge base for metabolic reasoning, achieving high mechanistic accuracy through automated synthesis and biochemical grounding.

This paper develops TDMA, a transcriptomics-based model to estimate DNA methylation activity and epigenetic aging from bulk, single-cell, and spatial transcriptomics data.

This study identifies population-specific transcriptional changes in skeletal muscle myonuclei during pancreatic cancer cachexia, revealing distinct gene activation patterns rather than uniform upregulation of cachexia mediators.