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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ramachandran, P. Wu-Sheng Lu Antoniou, A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical and Computer Engineering University of Victoria, BC, Canada, V8W 3P6 (Ramachandran, P.; Wu-Sheng Lu; Antoniou, A.) |
| Abstract | An optimized numerical mapping scheme for achieving improved location of exons in DNA sequences using digital filters is proposed. Characteristic numerical values for the four nucleotides, referred to as pseudo-EIIP values, are obtained using a training procedure where the location accuracy is maximized using a quasi-Newton algorithm based on the Broyden-Fletcher-Goldfarb-Shanno updating formula. A training set of 80 DNA sequences is chosen from the HMR195 database. The objective function for the optimization procedure is formulated using the so-called receiver operating characteristic (ROC) technique and the procedure is initialized using electron-ion interaction potential (EIIP) values. Unbiased testing of the optimized characteristic values is carried out using a set of DNA sequences that has no overlap with the training set. Simulation results show that the pseudo-EIIP values yield more accurate exon locations than those obtained using the actual EIIP values. |
| Starting Page | 2231 |
| Ending Page | 2234 |
| File Size | 249625 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424453085 |
| DOI | 10.1109/ISCAS.2010.5537209 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-30 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | DNA Sequences Digital filters Frequency Computational efficiency Charge carrier processes Testing Databases Organisms Proteins ROC plots exons period-3 property electron-ion interaction potential bandpass notch digital filters BFGS updating formula |
| Content Type | Text |
| Resource Type | Article |
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