4篇
您的检索式：作者名="Hyunjin Shin"
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| 1 | Current trends in the development and application of molecular technologies for cancer epigenetics显示文摘Current progress in epigenetic research supports the view that diet and dietary components are important in cancer etiology by enhancing or inhibiting carcinogenesis.Since diet and dietary factors may significantly contribute to the causation and progression of many cancers,it is important to find the molecular mechanisms of action of such dietary factors for cancer prevention and treatment.Recently,the role of epigenetic mechanisms in the cancer development and progression has attracted more attention as additional evidence along with traditional DNA sequence based mechanisms such as mutations and structural re-arrangements.Such an increasing interest in cancer epigenetics has also accelerated the development and application of molecular assays and tools for DNA methylation detection and histone modification enrichment analysis.In this paper,key assays and methods for epigenetic research are reviewed and discussed in terms of their utility and usability.In addition,more advanced methods for genome-wide analysis are introduced as part of upcoming research trends and directions. | Hyeran Jang Hyunjin Shin | 2013 | World Journal of Gastroenterology2013，19，7： | 3 |
| 2 | Differentiation-Specific Histone Modifications Reveal Dynamic Chromatin Interactions and Partners for the Intestinal Transcription Factor CDX2显示文摘 | Michael P. Verzi Hyunjin Shin H. Hansen He Rita Sulahian Clifford A. Meyer Robert K. Montgomery James C. Fleet Myles Brown X. Shirley Liu Ramesh A. Shivdasani | 2010 | Developmental Cell2010，，5： | 1 |
| 3 | Computational methodology for ChlP-seq analysis显示文摘 | Hyunjin Shin Tao Liu Xikun Duan Yong Zhang X. Shirley Liu | 2013 | Frontiers of Electrical and Electronic Engineering in China2013，8，1： | 0 |
| 4 | Wearable EEG electronics for a Brain–AI Closed-Loop System to enhance autonomous machine decision-making显示文摘Human nonverbal communication tools are very ambiguous and difficult to transfer to machines or artificial intelligence(AI).If the AI understands the mental state behind a user’s decision,it can learn more appropriate decisions even in unclear situations.We introduce the Brain-AI Closed-Loop System(BACLoS),a wireless interaction platform that enables human brain wave analysis and transfers results to AI to verify and enhance AI decision-making.We developed a wireless earbud-like electroencephalography(EEG)measurement device,combined with tattoo-like electrodes and connectors,which enables continuous recording of high-quality EEG signals,especially the error-related potential(ErrP).The sensor measures the ErrP signals,which reflects the human cognitive consequences of an unpredicted machine response.The AI corrects or reinforces decisions depending on the presence or absence of the ErrP signals,which is determined by deep learning classification of the received EEG data.We demonstrate the BACLoS for AIbased machines,including autonomous driving vehicles,maze solvers,and assistant interfaces. | Joo Hwan Shin Junmo Kwon Jong Uk Kim Hyewon Ryu Jehyung Ok SJoon Kwon Hyunjin Park Tae-il Kim | 2022 | npj Flexible Electronics2022，6，1： | 0 |
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