We develop computational and statistical solutions for the analysis of high-dimensional molecular data in various contexts of biomedical research. Our research topics include
Ultrahigh-dimensional network inference and interpretable integration of multi-omics data in biological experiments and clinical studies
Harmonizing information between bulk omics data and single cell-level omics data
Mapping molecular concentration changes between tissues and circulation in biomarker discovery
Application of sequencing and mass spectrometry-based omics technologies in clinical and food science research
Development of novel informatics tools for large-scale untargeted and targeted mass spectrometry (MS) data processing in metabolomics and lipidomics
To see examples of our work, check out the CSSB LAB GitHub page!
26 November 2023: SLING will host the 12th edition of International Singapore Lipid Symposium (iSLS12) on March 5-8, 2024.
15 March 2023: Check out our upgraded iOmicsPASS+ software for network-based multi-omic integration and classification
15 March 2023: We have implemented a number of changes in our untargeted metabolomics analysis software MetaboKit, including MS1 signal-based fingerprinting for peaks without fragmentation and annotation of metabolites through HMDB and LipidMaps databases.