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Research Proposal for Team GENEVA

From the Abstract: "...In previous work, a system was developed which, given a gene sequence, was able to provide a functional annotation in the form of a value of membership for each category in the set of functional categories used in this project. The mechanism for the determination of any category classification was a back-propagation neural network which is a form of artificial neural network. The results of the artificial neural network annotations are from inputs which are based on the presence or absence of keywords in abstracts of related publi- cations accessed from a BLASTx query..."

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This material is based upon work supported by the National Science Foundation's Interdisciplinary Training for Undergraduates in Biology and Mathematics program under Grant No. 0436348, "Research-focused Learning Communities in Mathematical Biology," and Grant No. 0337769, "Mathematical Biology Initiative." Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.