Yang Peng

Deconvolution of Sparse-count RNA Sequencing Data for Tumor Cells Using Embedded Negative Binomial Distributions

The paper develops DeMixNB, a deconvolution model for sparse-count RNA sequencing data, showing its utility in analyzing tumor cell plasticity in breast and lung cancer.

A novel Bayesian model for assessing intratumor heterogeneity of tumor infiltrating leukocytes with multi-region gene expression sequencing

The paper introduces ICeITH, a Bayesian model to assess intratumor heterogeneity of tumor-infiltrating leukocytes using multi-region gene expression data, showing improved accuracy over existing methods.

Learning directed acyclic graphs for ligands and receptors based on spatially resolved transcriptomic analysis of ovarian cancer

This paper introduces LRnetST, a statistical method for inferring ligand-receptor interaction networks from spatial transcriptomic data of ovarian tumors, revealing common and distinct interactions across samples.

Tumor cell total mRNA expression shapes the molecular and clinical phenotype of cancer

The paper quantifies tumor-specific total mRNA expression from bulk data and shows its association with clinical outcomes across 15 cancer types.

Inhibition of DNA2 nuclease as a therapeutic strategy targeting replication stress in cancer cells.

This study identifies DNA2 nuclease as a therapeutic target for cancer by showing its overexpression in pancreatic cancer and its role in HR repair, with inhibitors reducing tumor growth and HR repair.