Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Wonho Shin"'
Autor:
Kyubum Lee, Byounggun Kim, Yonghwa Choi, Sunkyu Kim, Wonho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Choon Tan, Jaewoo Kang
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
Abstract Background Molecular biomarkers that can predict drug efficacy in cancer patients are crucial components for the advancement of precision medicine. However, identifying these molecular biomarkers remains a laborious and challenging task. Nex
Externí odkaz:
https://doaj.org/article/386d88c6d68142de95188c596a5735a1
Autor:
Wonho Shin, Jongwon Park
Publikováno v:
International Journal of Science and Mathematics Education. 19:701-725
The objective of this study was to understand behavioral characteristics of creative physicists during their growth period, and we want to use any insight gained to help teachers and parents encourage students’ creativity in their everyday life. To
Publikováno v:
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE).
Autor:
Wonho Shin, Chan-Seok Moon
Publikováno v:
Journal of Korean Society of Occupational and Environmental Hygiene. 26:396-403
Autor:
Jaewoo Kang, Ik Soon Jang, Minji Jeon, Hyun Jin Jang, Wonho Shin, Sung Won Han, Sungjoon Park, Jung Min Kim
Publikováno v:
BMC Systems Biology
BMC Systems Biology, Vol 12, Iss S2, Pp 69-77 (2018)
BMC Systems Biology, Vol 12, Iss S2, Pp 69-77 (2018)
Background Identifying gene regulatory networks is an important task for understanding biological systems. Time-course measurement data became a valuable resource for inferring gene regulatory networks. Various methods have been presented for reconst
Autor:
Kyubum Lee, Byounggun Kim, Yonghwa Choi, Sunkyu Kim, Wonho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Tan, Jaewoo Kang
Feature contribution analysis in our CNN model. Table S2. Results of simple co-occurrence-based method. Table S3. VarDrugPub and OncoKB comparison examples. Figure S1. Precision-Recall curves of our CNN classifier (Blue: Mutation-Gene, Red: Mutation-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c8f970e764cb0ae82c521136b4a5d28
Autor:
Sungjoon Park, Kim, Jung Min, Wonho Shin, Han, Sung Won, Minji Jeon, Jang, Hyun Jin, Ik-Soon Jang, Jaewoo Kang
Supplementary file of BTNET. The file contains the URL of the source code and dataset used in this study, evaluation results on individual benchmark datasets and materials and methods used for the qualitative analysis. (PDF 263 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::830eb007dd677c05f1df78fd5a95927b
Autor:
Sungjoon Park, Sunkyu Kim, Kyubum Lee, Byounggun Kim, Sunwon Lee, Wonho Shin, Aik Choon Tan, Yonghwa Choi, Jaewoo Kang, Seongsoon Kim
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
Background Molecular biomarkers that can predict drug efficacy in cancer patients are crucial components for the advancement of precision medicine. However, identifying these molecular biomarkers remains a laborious and challenging task. Next-generat
Autor:
Kyubum Lee, Sunwon Lee, Yonghwa Choi, Minji Jeon, Jaewoo Kang, Wonho Shin, Byounggun Kim, Sunkyu Kim, Aik Choon Tan
Publikováno v:
Bioinformatics; 9/15/2016, Vol. 32 Issue 18, p2886-2888, 3p, 1 Color Photograph