Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Hyein Seo"'
Publikováno v:
IEEE Access, Vol 11, Pp 26329-26343 (2023)
Controllable text generation is the primary technique for controlling specific attributes such as topic, keywords and obtaining augmented data. This work proposes a novel controllable text generation framework to improve the controllability of genera
Externí odkaz:
https://doaj.org/article/09295a81c14d4a768b890dda63083460
Publikováno v:
Genes, Vol 14, Iss 12, p 2207 (2023)
Diabetes is characterized by persistently high blood glucose levels and severe complications and affects millions of people worldwide. In this study, we explored the epigenetic landscape of diabetes using data from the Korean Genome and Epidemiology
Externí odkaz:
https://doaj.org/article/a460556dbb0c461f978242cbfa65d48f
Publikováno v:
IEEE Access, Vol 10, Pp 73562-73570 (2022)
Sequence labeling, in which a class or label is assigned to each token in a given input order, is a fundamental task in natural language processing. Many advanced neural network architectures have recently been proposed to solve the sequential labeli
Externí odkaz:
https://doaj.org/article/6820e9b56ed3421e92b3513e14288baa
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 36-43 (2021)
Goal: Various methods have been developed to analyze the association between organisms and their genomic sequences. Among them, sequence alignment is the most frequently used method for comparative analysis of biological genomes. We intend to propose
Externí odkaz:
https://doaj.org/article/5d1a7f2f387943dbafa35a048b3decd4
Publikováno v:
IEEE Access, Vol 9, Pp 84067-84078 (2021)
Natural language understanding (NLU) is a core technique for implementing natural user interfaces. In this study, we propose a neural network architecture to learn syntax vector representation by employing the correspondence between texts and syntact
Externí odkaz:
https://doaj.org/article/4f3cf30c20264bb9aa3b8e69cde2234a
Feature selection algorithm based on dual correlation filters for cancer-associated somatic variants
Autor:
Hyein Seo, Dong-Ho Cho
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-19 (2020)
Abstract Background Since the development of sequencing technology, an enormous amount of genetic information has been generated, and human cancer analysis using this information is drawing attention. As the effects of variants on human cancer become
Externí odkaz:
https://doaj.org/article/3fba54f2477b416bb5cf707f92cc0d6c
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 1, Pp 214-219 (2020)
Goal: Individual characteristics are determined through a genome consisting of a complex base combination. This base combination is reflected in the k-word profile, which represents the number of consecutive k bases. Therefore, it is important to ana
Externí odkaz:
https://doaj.org/article/a205210e8473418982669b62f3910bec
Autor:
Hyein Seo, Dong-Ho Cho
Publikováno v:
IEEE Access, Vol 8, Pp 64992-65004 (2020)
Gene expression profiling is a useful technique for analyzing cellular function, and gene expression profiles are widely studied in human cancer research. Gene expression data usually consist of a very large number of features and a relatively small
Externí odkaz:
https://doaj.org/article/8be301f4b55f4586befa1855de616bbb
Publikováno v:
Journal of KIISE. 50:306-312
Publikováno v:
Proceedings of the 28th International Conference on Intelligent User Interfaces.