CompBioClub

City University of Hong Kong | CityUHK BMS

Welcome to CompBioClub! We are a group of computational biologists studied and worked at the Department of Biomedical Science, City University of Hong Kong. Led by Dr. Lingxi Chen, it’s as if the Monkey Kings/Queens wield computer science and AI like a golden cudgel, navigating the vast ocean of biomedical science to ultimately uncover the true scripture of knowledge (Image credited to パプリカ).

Openings

We are seeking talented and passionate PhD candidates, research assistants.

We are seeking talented and passionate CityU undergraduates for Final Year Projects (e.g., BMS4206), research guidance (e.g., BMS1701), or campus internship schemes (e.g., CS‑PMS).

We are seeking talented and passionate CityU MSc students for course research projects (e.g., BMS5101) or research guidance.

Research Interests

  • Single-Cell and Spatial Omics: To design computational algorithms tailored for the analysis of bulk, single-cell, and spatial omics data. To address the challenges such as imputing missing data, dimension reduction, clustering, data integration, and more.

  • Genomic Structural Aberrations: To develop specialized tools for the detection and analysis of genomic aberrations, such as single nucleotide variations (SNVs), copy number variations (CNVs), and complex structural variations (CSVs). To identify the aberration biomarkers associated with multiple cancers and complex diseases for precision medicine.

  • AI in Healthcare: To build diagnostic and prognostic AI models for various conditions, including cancer and complex diseases in humans and animals.

  • Online Biomedical Platforms: To create user-friendly online webservers and databases that offer integrated analysis pipelines and interactive visualization interfaces. To enable non-bioinformaticians to explore complex biological data with simple mouse operations.

Selected Publications

A*: A is (co-)corresponding author. B: B is (co-)first author. C: C was a lab member during paper preparation.
  1. crisgi.png
    Predicting Early Transitions in Respiratory Virus Infections via Critical Transient Gene Interactions
    Chengshang Lyu, Anna Jiang, Ka Ho Ng, Xiaoyu Liu, and Lingxi Chen*
    bioRxiv, 2025
  2. grea.png
    Knowledge-driven annotation for gene interaction enrichment analysis
    Xiaoyu Liu, Anna Jiang, Chengshang Lyu, and Lingxi Chen*
    bioRxiv, 2025