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An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model
This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316432/ https://www.ncbi.nlm.nih.gov/pubmed/28261268 http://dx.doi.org/10.1155/2017/3686025 |
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author | Hameed, Safa A. Hamed, Raed I. |
author_facet | Hameed, Safa A. Hamed, Raed I. |
author_sort | Hameed, Safa A. |
collection | PubMed |
description | This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting the confidence value for each base in DNA base calling regarding collecting the data for each base in DNA, and the simulation model of designing the ANFIS contains three subsystems and main system; obtain the three features from the subsystems and in the main system and use the three features to predict the confidence value for each base. This is achieving effective results with high performance in employment. |
format | Online Article Text |
id | pubmed-5316432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-53164322017-03-05 An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model Hameed, Safa A. Hamed, Raed I. Adv Bioinformatics Research Article This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting the confidence value for each base in DNA base calling regarding collecting the data for each base in DNA, and the simulation model of designing the ANFIS contains three subsystems and main system; obtain the three features from the subsystems and in the main system and use the three features to predict the confidence value for each base. This is achieving effective results with high performance in employment. Hindawi Publishing Corporation 2017 2017-01-31 /pmc/articles/PMC5316432/ /pubmed/28261268 http://dx.doi.org/10.1155/2017/3686025 Text en Copyright © 2017 Safa A. Hameed and Raed I. Hamed. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hameed, Safa A. Hamed, Raed I. An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model |
title | An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model |
title_full | An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model |
title_fullStr | An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model |
title_full_unstemmed | An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model |
title_short | An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model |
title_sort | efficient approach in analysis of dna base calling using neural fuzzy model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316432/ https://www.ncbi.nlm.nih.gov/pubmed/28261268 http://dx.doi.org/10.1155/2017/3686025 |
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