Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sunghwa Bae"'
Autor:
Hasun Yu, Jinmyung Jung, Seyeol Yoon, Mijin Kwon, Sunghwa Bae, Soorin Yim, Jaehyun Lee, Seunghyun Kim, Yeeok Kang, Doheon Lee
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract In silico network-based methods have shown promising results in the field of drug development. Yet, most of networks used in the previous research have not included context information even though biological associations actually do appear i
Externí odkaz:
https://doaj.org/article/e86ff0bfc6124139b31a2f0eadf7d511
Autor:
Sunghwa Bae
Publikováno v:
International Journal of Tourism Management and Sciences. 37:27-46
Publikováno v:
BMC Systems Biology
BMC Systems Biology, Vol 12, Iss 1, Pp 1-11 (2018)
BMC Systems Biology, Vol 12, Iss 1, Pp 1-11 (2018)
Background Muscle atrophy, an involuntary loss of muscle mass, is involved in various diseases and sometimes leads to mortality. However, therapeutics for muscle atrophy thus far have had limited effects. Here, we present a new approach for therapeut
Autor:
Hasun Yu, Jinmyung Jung, Seyeol Yoon, Mijin Kwon, Sunghwa Bae, Soorin Yim, Jaehyun Lee, Seunghyun Kim, Yeeok Kang, Doheon Lee
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-1 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-1 (2018)
In silico network-based methods have shown promising results in the field of drug development. Yet, most of networks used in the previous research have not included context information even though biological associations actually do appear in the spe
Figure S1. An average of rank correlations among ten simulations in pair-wise manner for each of eleven thresholds. We selected the enabling threshold 35 that show the highest rank correlation in the reference and atrophic states. (DOCX 51Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ca18b27c7cf0a9745c6753d138219cd
Autor:
Mijin Kwon, Hasun Yu, Seyeol Yoon, Jinmyung Jung, Doheon Lee, Jae Hyun Lee, Sunghwa Bae, Soorin Yim, Seung-Hyun Kim, Yeeok Kang
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-1 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-1 (2018)
A correction to this article has been published and is linked from the HTML version of this paper. The error has been fixed in the paper.
Autor:
Soorin Yim, Mijin Kwon, Jae Hyun Lee, Yeeok Kang, Seyeol Yoon, Jinmyung Jung, Hasun Yu, Doheon Lee, Sunghwa Bae, Seung-Hyun Kim
Publikováno v:
Scientific Reports
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
SCIENTIFIC REPORTS(7)
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
SCIENTIFIC REPORTS(7)
In silico network-based methods have shown promising results in the field of drug development. Yet, most of networks used in the previous research have not included context information even though biological associations actually do appear in the spe
Publikováno v:
DTMBIO@CIKM
Construction of a virtual physiological human system by reconstructing biological networks is proposed as an alternative to traditional drug development process. In silico methods using biological networks in human have been used for resolving curren
Publikováno v:
DTMBIO@CIKM
Recent explosively increased bio-data enable to simulate the metabolism on whole body scale and it bring about needs of bioinformatics tools for visualizing and analyzing it. For such tools zooming is a key method for visualizing large and complex ne
Autor:
KWANG HEE LEE, MYOUNG HO KIM
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Mar2020, Vol. 14 Issue 3, p1-41, 41p