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Huong, Truong Thu,Bac, Ta Phuong,Thang, Bui Doan,Long, Dao Minh,Quang, Le Anh,Dan, Nguyen Minh,Hoang, Nguyen Viet International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.6
Since machine learning was invented, there have been many different machine learning-based algorithms, from shallow learning to deep learning models, that provide solutions to the classification tasks. But then it poses a problem in choosing a suitable classification algorithm that can improve the classification/detection efficiency for a certain network context. With that comes whether an algorithm provides good performance, why it works in some problems and not in others. In this paper, we present a data-centric analysis to provide a way for selecting a suitable classification algorithm. This data-centric approach is a new viewpoint in exploring relationships between classification performance and facts and figures of data sets.
Thu Hien Nguyen,Thi Thanh Ngan Nguyen,Bac Viet Le,Ngoc Minh Thanh,Thi Kim Lien Nguyen,Van Hai Nong,Huy Hoang Nguyen 한국유전학회 2017 Genes & Genomics Vol.39 No.3
Autism spectrum disorders (ASDs) are a group of neurodevelopmental disorders characterized by ritualistic- repetitive behaviors and impaired verbal and non-verbal communication. Boys are more likely to be diagnosed with ASD than girls. Genetics have been shown to play a key role in the etiology of autism. Many genes were found to be implicated in the inheritance of idiopathic autism. Analysis of mutation abnormalities associated with autism contributes significantly to the identification of autism candidate genes. Whole-exome sequencing has been shown as an application of the next generation sequencing technology used to determine the variations of all coding regions, or exons of the known genes. In the present study, we have found two novel heterozygous missense mutations (p.L111P and p.R3048C) on the RYR3 gene, which was located in the autism susceptibility region (15q14-q15) in a 9-year-old boy with ASD. Therefore, the sequence missense mutations provide the first suggestive link between a genetic abnormality in the RYR3 gene and a neurodevelopmental disorder.