Comparative Study Using Neural Networks for 16S Ribosomal Gene Classification
| Autor: | Michael Weeks, Anuja P. Parameshwaran, Rajshekhar Sunderraman, Heta P. Desai |
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| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
biology Artificial neural network Bacterial taxonomy Computational biology Ribosomal RNA biology.organism_classification Hypervariable region 03 medical and health sciences Computational Mathematics 0302 clinical medicine Computational Theory and Mathematics 030220 oncology & carcinogenesis Modeling and Simulation Genetics Gene classification Molecular Biology Gene Bacteria 030304 developmental biology Sequence (medicine) |
| Zdroj: | Journal of Computational Biology. 27:248-258 |
| ISSN: | 1557-8666 |
| DOI: | 10.1089/cmb.2019.0436 |
| Popis: | Bacterial 16S ribosomal gene was used to classify bacteria because it consists of both highly conservative region, as well as a hypervariable region, in its sequence. This hypervariable region serv... |
| Databáze: | OpenAIRE |
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