Hypergeometric Similarity Measure for Spatial Analysis in Tissue Imaging Mass Spectrometry

C. Kaddi, R. M. Parry, May D. Wang
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引用次数: 10

Abstract

Tissue imaging mass spectrometry (TIMS) is a data-intensive technique for spatial biochemical analysis. TIMS contributes both molecular and spatial information to tissue analysis. We propose and evaluate a similarity measure, based on the hyper geometric distribution, for comparing m/z images from TIMS datasets, with the goal of identifying m/z values with similar spatial distributions. We compare the formulation and properties of the proposed method with those of other similarity measures, and examine the performance of each measure on synthetic and biological data. This study demonstrates that the proposed hyper geometric similarity measure is effective in identifying similar m/z images, and may be a useful addition to current methods in TIMS data analysis.
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组织成像质谱中空间分析的超几何相似度量
组织成像质谱(TIMS)是一种数据密集型的空间生化分析技术。TIMS为组织分析提供了分子和空间信息。我们提出并评估了一种基于超几何分布的相似性度量,用于比较来自TIMS数据集的m/z图像,目的是识别具有相似空间分布的m/z值。我们比较了所提出的方法的公式和性质与那些其他相似性措施,并检查性能的每个措施在合成和生物数据。该研究表明,所提出的超几何相似性度量在识别相似的m/z图像方面是有效的,并且可能是对当前TIMS数据分析方法的有用补充。
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