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: 2014DOI: 10.1109/IJCNN.2014.6889557
Keyword(s): bioinformatics,n learning (artificial intelligence),n e coli,n negative example sampling,n negative instance,n nonpromoter regions,n positive training instances,n prokaryotic promoter prediction,n promoter finding algorithm,n supervised learning methods,n Context,n DNA,n Encoding,n Feature extraction,n Genomics,n Support vector machines,n Training
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| date accessioned | 2020-03-12T22:27:56Z | |
| date available | 2020-03-12T22:27:56Z | |
| date issued | 2014 | |
| identifier other | 7010816.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1083943?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Back cover | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8221173 | |
| subject keywords | bioinformatics | |
| subject keywords | n learning (artificial intelligence) | |
| subject keywords | n e coli | |
| subject keywords | n negative example sampling | |
| subject keywords | n negative instance | |
| subject keywords | n nonpromoter regions | |
| subject keywords | n positive training instances | |
| subject keywords | n prokaryotic promoter prediction | |
| subject keywords | n promoter finding algorithm | |
| subject keywords | n supervised learning methods | |
| subject keywords | n Context | |
| subject keywords | n DNA | |
| subject keywords | n Encoding | |
| subject keywords | n Feature extraction | |
| subject keywords | n Genomics | |
| subject keywords | n Support vector machines | |
| subject keywords | n Training | |
| identifier doi | 10.1109/IJCNN.2014.6889557 | |
| journal title | lectronics and Telecommunications (ISETC), 2014 11th International Symposium on | |
| filesize | 54119 | |
| citations | 0 |