Mathematical characterization of three-dimensional gene expresssion patterns

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Abstract

Motivation: The importance of a systematic methodology for the mathematical characterization of three-dimensional gene expression patterns in embryonic development. Methods: By combining lacunarity and multiscale fractal dimension analyses with computer-based methods of three-dimensional reconstruction, it becomes possible to extract new information from in situ hybridization studies. Lacunarity and fractality are appropriate measures for the cloud-like gene activation signals in embryonic tissues. The newly introduced multiscale method provides a natural extension of the fractal dimension concept, being capable of characterizing the fractality of geometrical patterns in terms of spatial scale. This tool can be systematically applied to three-dimensional patterns of gene expression. Results: Applications are illustrated using the three-dimensional expression patterns of the myogenic marker gene Myf5 in a series of differentiating somites of a mouse embryo. © Oxford University Press 2004; all rights reserved.

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da F. Costa, L., Barbosa, M. S., Manoel, E. T. M., Streicher, J., & Müller, G. B. (2004). Mathematical characterization of three-dimensional gene expresssion patterns. Bioinformatics, 20(11), 1653–1662. https://doi.org/10.1093/bioinformatics/bth135

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