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Classification of T cell movement tracks allows for prediction of cell function

Kelemen, Reka K; He, GF; Woo, HL; Lane, T; Rempe, C; Wang, J; Cockburn, Ian; Amino, Rogerio; Ganusov, Vitaly V; Berry, MW


Using a unique combination of visual, statistical, and data mining methods, we tested the hypothesis that an immune cell's movement pattern can convey key information about the cell's function, antigen specificity, and environment.We applied clustering, statistical tests, and a support vector machine (SVM) to assess our ability to classify different datasets of imaged flouresently labelled T cells in mouse liver.We additionally sawclusters of differentmovement patterns of T cells of identical...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: International Journal of Computational Biology and Drug Design
DOI: 10.1504/IJCBDD.2014.06155


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