Hypergeometric Similarity Measure for Spatial Analysis in Tissue Imaging Mass Spectrometry

机译：组织成像质谱中空间分析的超几何相似性度量

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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.

机译：组织成像质谱法（TIMS）是用于空间生化分析的数据密集型技术。 TIMS为组织分析提供分子和空间信息。我们提出并评估基于超几何分布的相似性度量，用于比较TIMS数据集中的m / z图像，以识别具有相似空间分布的m / z值。我们将拟议方法的公式和性质与其他相似性度量的方法进行比较，并检查每种方法在合成和生物学数据上的性能。这项研究表明，提出的超几何相似性度量可有效识别相似的m / z图像，并且可能是对TIMS数据分析中当前方法的有用补充。

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《2011 IEEE International Conference on Bioinformatics and Biomedicine》|2011年|p.604-607|共4页
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Kaddi Chanchala; Parry R. Mitchell; Wang May D.;
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中图分类信息处理技术;
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hypergeometric; imaging; mass spectrometry;

机译：超几何;成像;质谱;

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Hypergeometric Similarity Measure for Spatial Analysis in Tissue Imaging Mass Spectrometry

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