Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Young Kuk Kim"'
Autor:
Gunhwan Ko, Pan-Gyu Kim, Byung-Ha Yoon, JaeHee Kim, Wangho Song, IkSu Byeon, JongCheol Yoon, Byungwook Lee, Young-Kuk Kim
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and significant computational challenges. As the cost of next-generation sequencing (NGS) has decreased, the amount of genomic data
Externí odkaz:
https://doaj.org/article/bcd56411bb8e4c71ba54f44a0f1f2016
Autor:
Woojin Jung, Sungwoo Goo, Taewook Hwang, Hyunjung Lee, Young-Kuk Kim, Jung-woo Chae, Hwi-yeol Yun, Sangkeun Jung
Publikováno v:
Pharmaceuticals, Vol 17, Iss 3, p 382 (2024)
Machine learning techniques are extensively employed in drug discovery, with a significant focus on developing QSAR models that interpret the structural information of potential drugs. In this study, the pre-trained natural language processing (NLP)
Externí odkaz:
https://doaj.org/article/23edaa2169b34c7f985a92d265051e90
Autor:
Eunjin Cho, Sunghyun Cho, Minjun Kim, Thisarani Kalhari Ediriweera, Dongwon Seo, Seung-Sook Lee, Jihye Cha, Daehyeok Jin, Young-Kuk Kim, Jun Heon Lee
Publikováno v:
Journal of Animal Science and Technology, Vol 64, Iss 5, Pp 830-841 (2022)
Genetic analysis has great potential as a tool to differentiate between different species and breeds of livestock. In this study, the optimal combinations of single nucleotide polymorphism (SNP) markers for discriminating the Yeonsan Ogye chicken (Ga
Externí odkaz:
https://doaj.org/article/65537572dc0b4d5bac3b1226cb42f8e6
Autor:
Hyo-Jun Lee, Yoonji Chung, Ki Yong Chung, Young-Kuk Kim, Jun Heon Lee, Yeong Jun Koh, Seung Hwan Lee
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract In the general framework of the weighted gene co-expression network analysis (WGCNA), a hierarchical clustering algorithm is commonly used to module definition. However, hierarchical clustering depends strongly on the topological overlap mea
Externí odkaz:
https://doaj.org/article/74f38d5281334dba9bd0a5e9db735a2d
Publikováno v:
IEEE Access, Vol 9, Pp 69539-69558 (2021)
Processing a reachability query in large-scale networks using existing methods remains one of the most challenging problems in graph mining. In this paper, we propose a novel incremental algorithmic framework for arbitrary-order reachability computat
Externí odkaz:
https://doaj.org/article/bc55c100d6124237bc7eef4779ba2f2a
Publikováno v:
Energies, Vol 16, Iss 4, p 1983 (2023)
The South Korean government plans to switch from a centralized power generation method to a distributed one. However, due to opposition from local residents, construction of distributed power plants is frequently delayed or suspended. This study atte
Externí odkaz:
https://doaj.org/article/cec118adb1a84b809e80e41f8a084cdf
Autor:
Seonyeong Heo, Sunghyun Cho, Phuong Thanh Ngoc Dinh, Jongho Park, Dae‐Hyeok Jin, Jihye Cha, Young‐Kuk Kim, Yeong Jun Koh, Seung Hwan Lee, Jun Heon Lee
Publikováno v:
Animal Genetics. 54:355-362
Publikováno v:
International Journal of Hydrogen Energy. 48:4119-4128
Publikováno v:
Frontiers in Mechanical Engineering, Vol 6 (2020)
In this study, we investigated the characteristics of the three-dimensional (3D) additive printing process of pure copper(Cu) on metal substrates through the localized electroplating with precisely controlled nozzle fluid dynamics. In addition, we an
Externí odkaz:
https://doaj.org/article/b9e309c0d1d34dfe9bbd41de11120d28
Autor:
Soo-Yeon Jeong, Young-Kuk Kim
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 45 (2021)
A context-aware recommender system can make recommendations to users by considering contextual information such as time and place, not only the scores assigned to items by users. However, as a user preferences matrix is expanded in a multidimensional
Externí odkaz:
https://doaj.org/article/c8f53df497b748a1b9e82eb71d4f97f8