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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...

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Detalles Bibliográficos
Autores principales: Hameed, Safa A., Hamed, Raed I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
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.
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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.
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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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