The Tree-Edit-Distance, a Measure for Quantifying Neuronal Morphology Export

@article{citeulike:4692023, abstract = {Abstract\ \ The shape of neuronal cells strongly resembles botanical trees or roots of plants. To analyze and compare these complex three-dimensional structures it is important to develop suitable methods. We review the so called tree-edit-distance known from theoretical computer science and use this distance to define dissimilarity measures for neuronal cells. This measure intrinsically respects the tree-shape. It compares only those parts of two dendritic trees that have similar position in the whole tree. Therefore it can be interpreted as a generalization of methods using vector valued measures. Moreover, we show that our new measure, together with cluster analysis, is a suitable method for analyzing three-dimensional shape of hippocampal and cortical cells.}, author = {Heumann, Holger and Wittum, Gabriel}, citeulike-article-id = {4692023}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s12021-009-9051-4}, citeulike-linkout-1 = {http://www.springerlink.com/content/v330694567718p28}, doi = {10.1007/s12021-009-9051-4}, journal = {Neuroinformatics}, keywords = {apple, cnell, tree, vvm}, posted-at = {2009-08-10 08:00:51}, priority = {2}, title = {The Tree-Edit-Distance, a Measure for Quantifying Neuronal Morphology}, url = {http://dx.doi.org/10.1007/s12021-009-9051-4} }

TY - JOUR ID - citeulike:4692023 L3 - citeulike-article-id:4692023 N2 - Abstract  The shape of neuronal cells strongly resembles botanical trees or roots of plants. To analyze and compare these complex three-dimensional structures it is important to develop suitable methods. We review the so called tree-edit-distance known from theoretical computer science and use this distance to define dissimilarity measures for neuronal cells. This measure intrinsically respects the tree-shape. It compares only those parts of two dendritic trees that have similar position in the whole tree. Therefore it can be interpreted as a generalization of methods using vector valued measures. Moreover, we show that our new measure, together with cluster analysis, is a suitable method for analyzing three-dimensional shape of hippocampal and cortical cells. JF - Neuroinformatics TI - The Tree-Edit-Distance, a Measure for Quantifying Neuronal Morphology KW - apple KW - cnell KW - tree KW - vvm AU - Heumann, Holger AU - Wittum, Gabriel UR - http://dx.doi.org/10.1007/s12021-009-9051-4 ER -