Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Hyonho Chun"'
Autor:
Gwangwoo Kim, Hyonho Chun
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)
Abstract Background Deep generative models naturally become nonlinear dimension reduction tools to visualize large-scale datasets such as single-cell RNA sequencing datasets for revealing latent grouping patterns or identifying outliers. The variatio
Externí odkaz:
https://doaj.org/article/f2f238b70205471c9f8cef9ef571f21f
Autor:
Yeon-Suk Yang, Jung-Min Kim, Jun Xie, Sachin Chaugule, Chujiao Lin, Hong Ma, Edward Hsiao, Jaehyoung Hong, Hyonho Chun, Eileen M. Shore, Frederick S. Kaplan, Guangping Gao, Jae-Hyuck Shim
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-20 (2022)
Fibrodysplasia ossificans progressiva is an ultra-rare genetic disorder with progressive heterotopic ossification. Yang et al develop different gene therapy approaches and show their efficacy in mouse models and in human induced pluripotent stem cell
Externí odkaz:
https://doaj.org/article/261d337857a4449b8131eb048cff41f6
Autor:
Chang Kyung Kang, Baekgyu Choi, Sugyeong Kim, Choong Hyun Sun, Soon Ho Yoon, Kyukwang Kim, Euijin Chang, Jongtak Jung, Pyoeng Gyun Choe, Wan Beom Park, Eu Suk Kim, Hong Bin Kim, Nam Joong Kim, Myoung-don Oh, Hogune Im, Joohae Kim, Yong Hoon Lee, Jaehee Lee, Hyonho Chun, Youngil Koh, Ji Yeon Lee, Joon Ho Moon, Kyoung-Ho Song, Inkyung Jung
Publikováno v:
Haematologica, Vol 108, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/4feca74f5c3f41b795f79ae5047d60ba
Autor:
Jung-Min Kim, Yeon-Suk Yang, Jaehyoung Hong, Sachin Chaugule, Hyonho Chun, Marjolein CH van der Meulen, Ren Xu, Matthew B Greenblatt, Jae-hyuck Shim
Publikováno v:
eLife, Vol 11 (2022)
Emerging evidence supports that osteogenic differentiation of skeletal progenitors is a key determinant of overall bone formation and bone mass. Despite extensive studies showing the function of mitogen-activated protein kinases (MAPKs) in osteoblast
Externí odkaz:
https://doaj.org/article/435d9b2fd74c49e8a18463a57619a847
Publikováno v:
Genome Medicine, Vol 11, Iss 1, Pp 1-17 (2019)
Abstract Background Accurate identification of real somatic variants is a primary part of cancer genome studies and precision oncology. However, artifacts introduced in various steps of sequencing obfuscate confidence in variant calling. Current comp
Externí odkaz:
https://doaj.org/article/2c03c595514844abb55bb49608394580
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0225079 (2019)
Crohn's Disease and Ulcerative Colitis are chronic, inflammatory conditions of the digestive tract, collectively known as Inflammatory Bowel Disease (IBD). The combined influence of lifestyle factors, genetics, and the gut microbiome contribute to IB
Externí odkaz:
https://doaj.org/article/6d251f9c060a4a658fe87ba5b09e7617
Publikováno v:
Journal of Microbiology & Biology Education, Vol 18, Iss 1 (2017)
Understanding how different types of molecules move through cell membranes is a fundamental part of cell biology. To identify and address student misconceptions surrounding molecular movement through cell membranes, we surveyed student understanding
Externí odkaz:
https://doaj.org/article/f05e4f71061b495eaee3e7ea32896e60
Publikováno v:
Digestive and Liver Disease.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a1dc466fa97e540cdbc65fc9ad389e
https://doi.org/10.1016/j.dld.2023.02.021
https://doi.org/10.1016/j.dld.2023.02.021
Autor:
Jung-Min Kim, Yeon-Suk Yang, Jun Xie, Oksun Lee, JiHea Kim, Jaehyoung Hong, Brigitte Boldyreff, Odile Filhol, Hyonho Chun, Matthew B. Greenblatt, Guangping Gao, Jae-Hyuck Shim
Publikováno v:
Cell Death & Differentiation. 29:1625-1638
Osteocytes play a critical role in bone remodeling through the secretion of paracrine factors regulating the differentiation and activity of osteoblasts and osteoclasts. Sclerostin is a key osteocyte-derived factor that suppresses bone formation and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94842f276467334db92963a4c46ddf54
https://doi.org/10.1038/s41418-022-00952-x
https://doi.org/10.1038/s41418-022-00952-x
Autor:
Hyonho Chun, Gwangwoo Kim
Background: Deep generative models naturally become nonlinear dimension reduction tools to visualize large-scale datasets such as single-cell RNA sequencing datasets for revealing latent grouping patterns or identifying outliers. The Variational auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f4ad8802ae627e52d5285ab95520d0c
https://doi.org/10.21203/rs.3.rs-2717344/v1
https://doi.org/10.21203/rs.3.rs-2717344/v1
