1. An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model
- Author
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Raed I. Hamed and Safa A. Hameed
- Subjects
Article Subject ,Computer science ,media_common.quotation_subject ,Biomedical Engineering ,020101 civil engineering ,02 engineering and technology ,computer.software_genre ,Machine learning ,Biochemistry, Genetics and Molecular Biology (miscellaneous) ,DNA sequencing ,0201 civil engineering ,0202 electrical engineering, electronic engineering, information engineering ,Quality (business) ,Representation (mathematics) ,lcsh:QH301-705.5 ,lcsh:Statistics ,lcsh:HA1-4737 ,media_common ,Adaptive neuro fuzzy inference system ,Measure (data warehouse) ,business.industry ,Base (topology) ,Computer Science Applications ,Data set ,lcsh:Biology (General) ,020201 artificial intelligence & image processing ,Base calling ,Data mining ,Artificial intelligence ,business ,computer ,Research Article - Abstract
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.
- Published
- 2017
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