Yi Zhang

This study shows that combining enzalutamide with DRP-104 enhances anti-tumor immunity by reducing Treg cells and improving CD8+ T cell activity in prostate cancer.

The paper identifies circadian misalignment between cancer and immune cells in breast tumors as a mechanism of immune evasion and therapeutic resistance.

cellSTAAR integrates single-cell ATAC-seq with whole-genome sequencing to enhance power and interpretation of rare variant association tests in non-coding regions.

scATAnno automatically annotates scATAC-seq data using reference atlases, outperforming existing methods across multiple datasets.

STHD provides probabilistic cell typing for high-resolution spatial transcriptomics data by directly modeling single-spot gene expression without aggregation, improving segmentation and downstream analysis.

The paper develops L-HiC-Reg to predict long-range regulatory interactions in new cell lines and applies it to interpret GWAS SNPs in complex diseases.

MetaTiME identifies data-driven meta-components in tumor immune microenvironment scRNA-seq data to annotate cell states and reveal transcriptional regulators.

The paper investigates epigenomic and 3D chromatin conformation changes in human frontal cortex and hippocampus development using sn-m3C-seq, finding distinct chromatin conformations in neurons and glial cells and linking risk variants to regulatory regions.

The paper develops a machine learning model to predict protein degradability for targeted protein degradation, identifying key features and extending predictions to the proteome.

This study shows MYC overexpression disrupts AR transcriptional pause release, promoting aggressive prostate cancer progression.

This study uses scRNA-seq to analyze yeast ageing, finding increased transcriptional variability and identifying FIT3 as a marker of early heterogeneity.

SequencEnG provides an interactive knowledge base of 66 sequencing techniques and NGS analysis pipelines for educational purposes.

ClusterEnG provides an interactive web resource for clustering big data with visualizations and educational materials to help users understand clustering algorithms and their applications.