Hongyi Liu

Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patients

The paper develops a machine learning framework to identify RCD-related genes in glioma, identifies SLC43A3 as an oncogenic biomarker, and proposes a gene pair signature for prognosis prediction.

Re-investigation of classic T cell subsets and identification of novel cell subpopulations by single-cell RNA sequencing

The paper re-analyzes T cell subsets using scRNA-seq, identifies new subpopulations, and shows that gene expression patterns define more homogeneous cell populations than surface markers.