Dr. Lingxi CHEN, 陳凌曦

Dr. Chen is dedicated to advancing research at the intersection of computer science and biomedicine, with a primary emphasis on developing computational tools and platforms that can address critical issues in cancer, complex diseases, and animal health. Her research interests span four distinct domains: Genomic Structural Aberrations, Single-Cell and Spatial Omics, AI in Healthcare, and Online Biomedical Platforms. These areas are essential for advancing computational biology and its contribution to the field of biomedical sciences. 1. 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. 2. 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. 3. AI in Healthcare To build diagnostic and prognostic AI models for various conditions, including cancer and complex diseases in humans and animals. 4. 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.

CNAScope: pan-cancer copy number aberration database with functional annotation and interactive visualization Feng, X. (Co-first Author), Zheng, J. (Co-first Author), Peng, S. (Co-first Author), Jiang, A. (Co-first Author), Ng, K. H., Lyu, C., Jin, Q. & Chen, L., 6 Jan 2026, In: Nucleic Acids Research. 54, D1, p. D1364-D1375 12 p. RGC 21 - Publication in refereed journal peer-review CRESCENT: a deep learning framework with multi-scale attention for detecting recurrent copy number alterations Feng, X. (Co-first Author), Xu, Z. (Co-first Author), Peng, S., Zheng, J., Ma, C., Jin, Q. & Chen, L., Mar 2026, In: Briefings in Bioinformatics. 27, 2, bbag167. RGC 21 - Publication in refereed journal peer-review Learning Shift-Invariant Graph Representations for Cox Survival on Multi-Modal Cancer