Haochen Li

The paper identifies 15,836 noncoding splice isoforms in human mRNA from 7,298 protein-coding genes, showing tissue-specific expression and association with cancer.

This study develops SRT-CD, a machine learning system using tumor- and tissue-specific RNA transcripts to diagnose cancers and determine tissue origin with high accuracy.

This paper introduces HoloNet, a method to decode functional cell-cell communication events from spatial transcriptomic data by integrating ligand-receptor pairs, cell-type spatial distribution, and downstream gene expression.

The paper introduces hECA, a cell-centric human Ensemble Cell Atlas, which integrates scRNA-seq data from multiple studies to enable targeted data retrieval, multi-view presentations, and customizable reference creation for cell type annotations.

The paper introduces eQTLsingle, a method to discover single-cell eQTLs using only scRNA-seq data, revealing cell-type-specific tumor-related eQTLs not found in bulk studies.