Ying Swan Ho

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Liquid chromatography-mass spectrometry (LC-MS) is becoming the dominant technology in metabolomics, involving the comprehensive analysis of small molecules in biological systems. However, its use is still limited mainly by challenges in global high-throughput identification of metabolites: LC-MS data is highly complex, particularly due to the formation of(More)
Cytology and histology forms the cornerstone for the diagnosis of non-small cell lung cancer (NSCLC) but obtaining sufficient tumour cells or tissue biopsies for these tests remains a challenge. We investigate the lipidome of lung pleural effusion (PE) for unique metabolic signatures to discriminate benign versus malignant PE and EGFR versus non-EGFR(More)
In pre-processing LC–MS data for metabolomics (lipidomics) profiling studies, working parameters used in many software were still prevalently based on expert recommendations which may not be generalizable or optimal for the analytical conditions on-hand. However, as we shall indicate in this work, many factors can profoundly affect parameter requirements(More)
Cloud computing is currently very popular. A few cloud services, such as Gmail and YouTube, have demonstrated notable success. So far, most research has primarily focused on technical implementation and business models of cloud services, and scant research explains why individuals do or do not use cloud services. This research-in-progress aims to propose a(More)
Microwave-assisted extraction (MAE) has emerged as an efficient extraction technique for various kinds of biological samples due to its low usage of extraction solvents and shorter extraction time. This review will focus on the recent developments and advantages of incorporating MAE in sample preparation protocols for the analysis of small molecules in(More)
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