title: Hypergeometric Similarity Measure for Spatial Analysis in Tissue Imaging Mass Spectrometry.
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 hypergeometric distribution, for comparingm/zimages from TIMS datasets, with the goal of identifyingm/zvalues 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 hypergeometric similarity measure is effective in identifying similarm/zimages, and may be a useful addition to current methods in TIMS data analysis.
authors.affiliation: Wallace H. Coulter department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332.
authors.forename: Chanchala
authors.initials: C
authors.lastname: Kaddi
authors.affiliation: Wallace H. Coulter department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332.
authors.forename: R Mitchell
authors.initials: RM
authors.lastname: Parry
authors.affiliation: Wallace H. Coulter department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332.
authors.forename: May D
authors.initials: MD
authors.lastname: Wang
keywords: hypergeometric; imaging; mass spectrometry