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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arniker, S.B. Hon Keung Kwan Ngai-Fong Law Lun, D.P. |
| Copyright Year | 2011 |
| Description | Author affiliation: Directorate of Laser Systems, Research Centre Imarat, Hyderabad 500 069, India (Arniker, S.B.) || Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong (Ngai-Fong Law; Lun, D.P.) || Department of Electrical and Computer Engineering, University of Windsor, Ontario, Canada (Hon Keung Kwan) |
| Abstract | In spite of the recent development of computational methods for human promoter prediction, the prediction performance still needs improvement. In particular, the high false positive rate of the traditional approaches decreases the prediction reliability and leads to erroneous results in gene annotation. To improve the prediction accuracy and reliability, a DNA numerical representation and neural network based approach is studied for characterizing DNA alphabets in different regions of a DNA sequence. Three mapping functions are used for converting the DNA alphabets to numerical values so that discriminative biological features are extracted for promoter prediction. Simulations of the proposed system were carried out using a set of genomic sequences from the human chromosome 22 and it was found to achieve high sensitivity and specificity. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 218891 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457711107 |
| e-ISBN | 9781457711091 |
| DOI | 10.1109/INDCON.2011.6139326 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-16 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | promoter recognition Humans DNA Genomics Artificial neural networks bioinformatics neural networks DNA numerical representation Bioinformatics Biological cells Testing |
| Content Type | Text |
| Resource Type | Article |
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