Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Hasun Yu"'
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:
Hasun Yu1,2, Sungji Choo1,2, Junseok Park1,2, Jinmyung Jung1,2, Yeeok Kang1,2, Doheon Lee1,2 dhlee@biosoft.kaist.ac.kr
Publikováno v:
BMC Systems Biology. 1/11/2016, Vol. 10, p17-25. 9p.
Publikováno v:
BMC Systems Biology, Vol 12, Iss S1, Pp 111-122 (2018)
BMC Systems Biology
BMC Systems Biology
Background Signaling pathways can be reconstructed by identifying ‘effect types’ (i.e. activation/inhibition) of protein-protein interactions (PPIs). Effect types are composed of ‘directions’ (i.e. upstream/downstream) and ‘signs’ (i.e. p
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
Publikováno v:
Bioinformatics (Oxford, England). 35(7)
Motivation Essential gene signatures for cancer growth have been typically identified via RNAi or CRISPR–Cas9. Here, we propose an alternative method that reveals the essential gene signatures by analysing genomic expression profiles in compound-tr
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.
Lists all possible combinations of GO relations where relation reasoning can be applied. Figure S1-S2. shows ROC and PRC along with their area under the curves obtained from cross-validation, and independent test results. (PDF 799Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0350717efde97a65be8c2d33c8bb55f5
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
SCIENTIFIC REPORTS(7)
Scientific Reports
SCIENTIFIC REPORTS(7)
Scientific Reports
Experimental evidence has shown that some of the human endogenous hormones significantly affect drug efficacy. Since hormone status varies with individual physiological states, it is essential to understand the interplay of hormones and drugs for pre
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:
BMC Systems Biology
Background Developing novel uses of approved drugs, called drug repositioning, can reduce costs and times in traditional drug development. Network-based approaches have presented promising results in this field. However, even though various types of