Pengfei Bao

RNAsmol is a sequence-based deep learning framework that predicts RNA-small molecule interactions using data perturbation and augmentation, achieving improved performance over existing methods.

The paper develops DETECTOR-seq to analyze fragmented cell-free RNAs in plasma and extracellular vesicles, revealing distinct RNA distributions and potential biomarkers for cancer detection.

The paper analyzes cell-free multi-omics data from gastrointestinal cancer patients to identify tumor status-informative signatures in plasma.

Pathformer integrates multi-omics data using a pathway-informed Transformer to improve cancer diagnosis and prognosis prediction.