A Java Program of Feature Extraction Algorithms for Protein Sequences
Prediction of protein subcellular localizations attracted the eyes of many researchers and hence a serial of computational approaches which aimed at designing an effective learning machine to deal with the newly-found protein sequences on the base of the feature vector were developed in the last two...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2014-06-01.
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| Online Access: | Get fulltext |
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| LEADER | 02302 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs3508_1772 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Qiao, Shanping |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Yan, Baoqiang |e author |
| 245 | 0 | 0 | |a A Java Program of Feature Extraction Algorithms for Protein Sequences |
| 260 | |b Institute of Advanced Engineering and Science, |c 2014-06-01. | ||
| 520 | |a Prediction of protein subcellular localizations attracted the eyes of many researchers and hence a serial of computational approaches which aimed at designing an effective learning machine to deal with the newly-found protein sequences on the base of the feature vector were developed in the last two decades. The feature extraction algorithm for protein sequences played a vital role actually. The information in the feature vector influenced the performance of the learning algorithm significantly. In order to facilitate users to build predicting system, three feature extraction algorithms about amino acid composition were introduced, improved and implemented in a Java program. By comparing the results with those from some web servers, it was proved that this program ran normally and had good performance both in time costing and user interface. Moreover, the results could be easily saved to the specified file for later use. It was anticipated that this program would give some help to researchers. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4689 | ||
| 540 | |a Copyright (c) 2014 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Technology; Computer Engineering and Bioinformatics | ||
| 690 | |a Protein Subcellular Location Prediction; Amino Acid Composition; Feature Extraction Algorithm; Java | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 6: June 2014; 4322-4329 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v12.i6 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3508/1772 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3508/1772 |z Get fulltext |