期刊
MATHEMATICAL BIOSCIENCES
卷 176, 期 1, 页码 145-159出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/S0025-5564(01)00104-3
关键词
gene expression; Drosophila; functional genomics; classification; neural networks; multi-valued neurons
In order to reconstruct the establishment of the body pattern over time in Drosophila embryos, we have developed automated methods for detecting the age of an embryo on the basis of knowledge about its gene expression patterns. In this paper we perform temporal classification of confocal images of expression patterns of genes controlling segmentation by means of a neural network based on multi-valued neurons (MVN). MVN are artificial neural processing elements with complex-valued weights and high functionality, which proved to be efficient for solving the image recognition problems. The results obtained by this method confirm its efficiency for image recognition and indicate that the method can detect characteristic features of expression patterns which mark their development over time. (C) 2002 Elsevier Science Inc. All rights reserved.
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