CSSB Lab at Singapore Lipidomics Incubator
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!
Latest News
4 May 2024: A state-of-the-art implementation of novel graphical model estimator is ready for public release [GitHub link]. The software will make it possible to identify graph structure and obtain unbiased partial correlation estimates in ultrahigh-dimensional data containing up to a million (continuously-scaled) variables in HPC and cloud computing environments.
1 May 2024: We will be uploading more powerful versions of our targeted MRM processing software MRMkit and untargeted MS-based metabolomics/lipidomics data processing suite MetaboKit. New companion software for targeted PRM data processing [GitHub link], scanning SWATH metabolomics processing [GitHub link], and data processing software for flow injection analysis or similar direct infusion analysis [GitHub link] will be released later this year. All with public license, stay tuned or contact us for potential collaboration!
4 May 2024: Codes were cleaned for efficient protein-level scoring and faster computation in EBprotV2.
2 August 2023: CSSB lab is now a member of Singapore Lipidomics Incubator at Centre for Life Sciences.
15 March 2023: Check out our new iOmicsPASS+ software for network-based multi-omic integration and classification.
HC is an associate editor at Molecular Omics -- feel free to discuss submission of your manuscript. We are looking for reviews and research articles in novel multi-omics integration approaches.