Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hoseok Seo"'
Autor:
Yumi Oh, Sujeong Kim, Yunjae Kim, Hyun Kim, Dongjun Jang, Seungjae Shin, Soo-Jin Lee, Jiwon Kim, Sang Eun Lee, Jaeik Oh, Yoojin Yang, Dohee Kim, Hae Rim Jung, Sangjin Kim, Jihui Kim, Kyungchan Min, Beomki Cho, Hoseok Seo, Dohyun Han, Hansoo Park, Sung-Yup Cho
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-19 (2024)
Abstract Background Immune checkpoint therapy (ICT) provides durable responses in select cancer patients, yet resistance remains a significant challenge, prompting the exploration of underlying molecular mechanisms. Tyrosylprotein sulfotransferase-2
Externí odkaz:
https://doaj.org/article/47974d639c9a4312819824b9409e4268
Autor:
Jin Woo Jung, Hyeyoon Kim, Joonho Park, Jongmin Woo, Eunji Jeon, Geeeun Lee, Minseo Park, Sarang Kim, Hoseok Seo, Seongmin Cheon, Kisoon Dan, Junghee Lee, Hoon Ryu, Dohyun Han
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract EWS RNA binding protein 1 (EWSR1) is a multifunctional protein whose epigenetic signatures contribute to the pathogenesis of various human diseases, such as neurodegenerative disorders, skin development, and tumorigenic processes. However, t
Externí odkaz:
https://doaj.org/article/471595b33ce74150999968081447ea87
Publikováno v:
STAR Protocols, Vol 4, Iss 4, Pp 102748- (2023)
Summary: Proteasomes are heterogeneous in forms and functions, but how the equilibrium among the 20S, 26S, and 30S proteasomes is achieved and altered is elusive. Here, we present a protocol for purifying and characterizing proteasome species. We des
Externí odkaz:
https://doaj.org/article/ffb3b9b469204b679e039b62e574d328
Autor:
Hoseok Seo, Sukjae Jeong
Publikováno v:
선진국방연구, Vol 5, Iss 3 (2022)
The Russian invasion of Ukraine highlights the importance of strengthening combat readiness in the military. The purpose of this study was to devise a policy implementation that can ensure the appropriateness of the evaluation using the improvement e
Externí odkaz:
https://doaj.org/article/3e541d4b3133498db51c37942a3e9149
Publikováno v:
Healthcare Informatics Research, Vol 27, Iss 1, Pp 82-91 (2021)
Objectives This paper proposes a method for computer-assisted diagnosis of coronavirus disease 2019 (COVID-19) through chest X-ray imaging using a deep learning model without writing a single line of code using the Konstanz Information Miner (KNIME)
Externí odkaz:
https://doaj.org/article/0217d99271234456a6d9c7fa7e76033c
Publikováno v:
Healthcare Informatics Research
Healthcare Informatics Research, Vol 27, Iss 1, Pp 82-91 (2021)
Healthcare Informatics Research, Vol 27, Iss 1, Pp 82-91 (2021)
Objectives This paper proposes a method for computer-assisted diagnosis of coronavirus disease 2019 (COVID-19) through chest X-ray imaging using a deep learning model without writing a single line of code using the Konstanz Information Miner (KNIME)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::576f72ad432cd3e610062906088ef0ee
https://pubmed.ncbi.nlm.nih.gov/33611880
https://pubmed.ncbi.nlm.nih.gov/33611880
Publikováno v:
Journal of Digital Contents Society. 19:1853-1860
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28024ca7787de6b1d39cd7ce3dafbd68
https://doi.org/10.9728/dcs.2018.19.10.1853
https://doi.org/10.9728/dcs.2018.19.10.1853
Publikováno v:
2012 14th Asia-Pacific Network Operations & Management Symposium (APNOMS); 1/ 1/2012, p1-4, 4p