|
|||||
|
|
Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis |
|
| Authors: | Chun-Chi Liu Chin-Chung Lin Ker-Chau Li Wen-Shyen E Chen Jiun-Ching Chen Ming-Te Yang Pan-Chyr Yang Pei-Chun Chang Jeremy JW Chen |
| Institution: | (1) Department of Computer Science, National Chung-Hsing University, Taichung, Taiwan, ROC;(2) Institute of Biomedical Sciences, National Chung-Hsing University, Taichung, Taiwan, ROC;(3) Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, ROC;(4) Institute of Molecular Biology, National Chung-Hsing University, Taichung, Taiwan, ROC;(5) NTU Center for Genomic Medicine, National Taiwan University College of Medicine, Taipei, Taiwan, ROC;(6) Departments of Biotechnology and Bioinformatics, Asia University, Taichung, Taiwan, ROC |
| Abstract: | BackgroundGenome-wide identification of specific oligonucleotides (oligos) is a computationally-intensive task and is a requirement for designing microarray probes, primers, and siRNAs. An artificial neural network (ANN) is a machine learning technique that can effectively process complex and high noise data. Here, ANNs are applied to process the unique subsequence distribution for prediction of specific oligos. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |