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http://hdl.handle.net/11375/23259
Title: | A Neural Network Based System to Classify the DNA Promoter Sequences of Escherichia Coli |
Other Titles: | Neural Network System to Classify DNA Sequences |
Authors: | Levy, Michael |
Advisor: | Harley, Calvin |
Department: | Computation |
Keywords: | neural network;DNA;DNA promoter sequence;e. coli;escherichia coli |
Publication Date: | Apr-1993 |
Abstract: | In this project, a neural network based system is used to classify the promoter regions found in Escherichia coli DNA sequences. An unsupervised algorithm based on the self-organizing feature map is used to classify the sequences and a dynamic programming algorithm is used too query the trained neural networks. In order to generalize the neural network's weights for display purposes, a back propagation supervised learning algorithm based on the conjugate gradient method is used to map the weights to one of the fifteen combinations of adenine, cytosine, guanine, and thymine (the chemical components of DNA). The results show that this method is able to classify the training sequences into discrete sub-classes which provide a query base for classifying new sequences. This method can be used for any class of sequences and can be extended for use in searching sequence databases. |
URI: | http://hdl.handle.net/11375/23259 |
Appears in Collections: | Digitized Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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levy_michael_z_1993Apr_masters.pdf.pdf | 10.58 MB | Adobe PDF | View/Open |
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