Maiying Kong, Ph.D., Professor, Department of Bioinformatics and Biostatistics, University of Louisville

"Challenges and Opportunities in High-Dimensional Data Analyses: Insights from Imaging Mass Cytometry and Genomic Phenotype Integration"

In this presentation, I will delve into the dynamic realm of high-dimensional data analyses, focusing on two key areas of my current work. Firstly, I will present Imaging Mass Cytometry (IMC), a groundbreaking fusion of mass spectrometry and UV laser ablation that enables the generation of high-resolution images of living tissue at the subcellular level. Through a detailed exploration of IMC data structure, I will present a spatial analysis methodology tailored to identify cellular neighborhoods, thereby unlocking novel insights into biological processes. Secondly, I will navigate through the complexities of integrating high-dimensional gene data with phenotype data, elucidating potential mechanisms of action and unveiling hidden patterns within genomic landscapes. By drawing upon my collaborations with investigators from the School of Medicines and Brown Cancer Center, I will conclude by offering a perspective on the opportunities and challenges inherent in these cutting-edge analytical endeavors.

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