Penghui Yang

Penghui Yang

Postdoctoral Associate

Yale University

Research Interests

Single-cell RNA Sequencing
Spatial Omics
Multi-omics Integration
Computational Biology

About

I am currently a Postdoctoral Associate in the Department of Statistics and Data Science at Yale University, working in the lab of Professor Zhou Xiang. My research aims to contribute to significant advancements in the field while deepening our understanding of biological complexities.

I graduated from the College of Pharmaceutical Sciences at Zhejiang University, where I completed my PhD under the supervision of Professor Fan Xiaohui. My research interests lie in utilizing computational tools to explore the intricate dynamics of complex physiological structures, disease progression, and multifaceted drug intervention patterns. Specifically, I focus on information mining within single-cell RNA-seq datasets, the integration of single-cell multi-omics data, and the innovative development of spatial omics analysis tools.

In addition to my research pursuits, I have a passion for literature, film, and rock music, which I believe enriches my perspective as a researcher.

Selected Publications

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Spatial integration of multi-omics single-cell data with SIMO

Penghui Yang, Kaiyu Jin, Yue Yao, Lijun Jin, Xin Shao, Chengyu Li, Xiaoyan Lu, Xiaohui Fan

Nature Communications

SIMO integrates spatial and multi-omics single-cell data to reveal the spatial organization of complex biological systems.

Revealing spatial multimodal heterogeneity in tissues with SpaTrio

Penghui Yang†, Lijun Jin†, Jie Liao†, Kaiyu Jin, Xin Shao, Chengyu Li, Jingyang Qian, Junyun Cheng, Dingyi Yu, Rongfang Guo, Xiao Xu, Xiaoyan Lu, Xiaohui Fan

Cell Genomics

SpaTrio reveals the spatial multimodal heterogeneity in tissues by integrating spatial transcriptomics with single-cell multi-omics data.

Single-cell RNA sequencing reveals the temporal diversity and dynamics of cardiac immunity after myocardial infarction

Kaiyu Jin†, Shan Gao†, Penghui Yang†, Rongfang Guo, Dan Li, Yunsha Zhang, Xiaoyan Lu, Guanwei Fan, Xiaohui Fan

Small Methods

Single-cell RNA sequencing reveals the dynamic changes of cardiac immune cells after myocardial infarction, providing insights into cardiac immunity and potential therapeutic targets.

Revealing the Transcriptional Heterogeneity of Organ-Specific Metastasis in Human Gastric Cancer Using Single-cell RNA Sequencing

Haiping Jiang†, Dingyi Yu†, Penghui Yang†, Rongfang Guo, Mei Kong, Yuan Gao, Xiongfei Yu, Xiaoyan Lu, Xiaohui Fan

Clinical and Translational Medicine

Single-cell RNA sequencing reveals transcriptional heterogeneity underlying organ-specific metastasis patterns in gastric cancer. (Open Science ExcelLent Author Program)

Modern research on Chinese medicine based on single-cell omics: technologies and strategies

Penghui Yang, Lijun Jin, Jie Liao, Xin Shao, Lu Li, Xiaoyan Lu, Xiaohui Fan

China Journal of Chinese Materia Medica

A comprehensive review of single-cell omics technologies and their applications in modern Chinese medicine research. (Cover Article)

News

2025-10

Joined Yale University as a Postdoctoral Associate in the Department of Statistics and Data Science.

2025-01

Our paper on SIMO for spatial integration of multi-omics single-cell data is published in Nature Communications.

2024-12

Joined University of Michigan as a Postdoctoral Associate in the Department of Computational Medicine and Bioinformatics.

2023-11

Our paper on SpaTrio for revealing spatial multimodal heterogeneity in tissues is published in Cell Genomics.