Jun Wen

Predicting Transcriptional Responses to Unseen Compounds through Context Modeling and Multi-View Transfer

UnDetect improves transcriptional prediction of unseen compounds by separating context from compound effects and integrating multi-view data.

MuSHIN: A multi-way SMILES-based hypergraph inference network for metabolic model reconstruction

MuSHIN improves genome-scale metabolic models by predicting missing reactions using a deep hypergraph learning method, enhancing their predictive accuracy and phenotypic predictions.

Target enrichment phylogenomics and biogeographic analyses unravel rapid radiation and reticulate evolution between Hainan-South China mainland -Vietnam in Section Nintooa (Lonicera, Caprifoliaceae)

This study uses phylogenomic analyses to investigate the evolutionary history of Section Nintooa, revealing rapid radiation and reticulate evolution between Hainan, South China mainland, and Vietnam.

Distinct eLPB ChAT projections for methamphetamine anxiety and relapse

The paper identifies two distinct eLPBChAT projections to the amygdala and bed nucleus of the stria terminalis that mediate methamphetamine withdrawal anxiety and relapse.

Activation of Cerebellar Lobule VI PCTH+boxhMed Pathway Selectively blocks METH-induced Conditioned Place Preference in mice

The paper identifies a cerebellar pathway that blocks METH-induced conditioned place preference in mice without affecting motor function.