DSpace at KOASAS: BiS-Journal Papers(저널논문)

College of Engineering(공과대학)Dept. of Bio and Brain Engineering(바이오및뇌공학과)

BiS-Journal Papers(저널논문)

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Recent Items

1 Paeonia lactiflora extract suppresses cisplatin-induced muscle wasting via downregulation of muscle-specific ubiquitin E3 ligases, NF-kB signaling, and cytokine levels

Jang, Jaewoong; Lee, Hyunji; Song, Jaewon; Bae, Taehyun; Park, Minwoo; Kwon, Young V.; Lee, Doheonresearcher; Yoon, Yoosik, JOURNAL OF ETHNOPHARMACOLOGY, v.266, pp.113403, 2021-02
2 A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks

Park, Youngjin; Baek, Seungdae; Paik, Se-Bumresearcher, NEURAL NETWORKS, v.134, pp.76 - 85, 2021-02
3 Vector trace cells in the subiculum of the hippocampal formation

Poulter, Steven; Lee, Sang Ahresearcher; Dachtler, James; Wills, Thomas J.; Lever, Colin, NATURE NEUROSCIENCE, v.24, pp.266 - 275, 2021-02
4 Extra-domain B of fibronectin as an alternative target for drug delivery and a cancer diagnostic and prognostic biomarker for malignant glioma

Saw, Phei Er; Xu, Xiaoding; Kang, Bo Ram; Lee, Jungsul; Lee, Yeo Song; Kim, Chungyeul; Kim, Hyungsin; Kang, Shin-Hyuk; Na, Yoo Jin; Moon, Hong Joo; Kim, Joo Han; Park, Youn-Kwan; Yoon, Wonki; Kim, Jong Hyun; Kwon, Taek-Hyun; Choi, Chulheeresearcher; Jon, Sangyongresearcher; Chong, Kyuha, THERANOSTICS, v.11, no.2, pp.941 - 957, 2021-01
5 qMTNet: Accelerated Quantitative Magnetization Transfer Imaging with Artificial Neural Networks

Luu, Huan Minh; Kim, Dong-Hyun; Kim, Jae-Woong; Choi, Seung-Hong; Park, Sung-Hongresearcher, MAGNETIC RESONANCE IN MEDICINE, v.85, no.1, pp.312 - 322, 2021-01
6 Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution

Cha, Eunju; Chung, Hyungjin; Kim, Eung Yeop; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.1, pp.166 - 179, 2021-01
7 Convection-enhanced delivery of liposomal drugs for effective treatment of glioblastoma multiforme

Han, Yunho; Park, Ji-Horesearcher, DRUG DELIVERY AND TRANSLATIONAL RESEARCH, v.10, no.6, pp.1876 - 1887, 2020-12
8 Boolean feedforward neural network modeling of molecular regulatory networks for cellular state conversion

Choo, Sang-Mok; Almomani, Laith M.; Cho, Kwang-Hyunresearcher, FRONTIERS IN PHYSIOLOGY, v.11, 2020-12
9 Thermoplasmonic neural chip platform for in situ manipulation of neuronal connections in vitro

Hong, Nari; Nam, Yoonkeyresearcher, NATURE COMMUNICATIONS, v.11, no.1, pp.6313, 2020-12
10 Deep learning for tomographic image reconstruction

Wang, Ge; Ye, Jong Chulresearcher; De Man, Bruno, NATURE MACHINE INTELLIGENCE, v.2, no.12, pp.737 - 748, 2020-12

Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 2256

1	Vector trace cells in the subiculum of the hippocampal formation Poulter, Steven; Lee, Sang Ahresearcher; Dachtler, James; Wills, Thomas J.; Lever, Colin, NATURE NEUROSCIENCE, v.24, pp.266 - 275, 2021-02
2	Controlled growth of SrBi2Ta2O9 thin films by the rf magnetron sputtering deposition Moon, SE; Back, SBresearcher; Kwun, SI; Song, TK; Yoon, JG, Journal of the Korean Physical Society, v.35, pp.S1206 - S1209, 1999-12
3	An Energy-Efficient Three-Stage Amplifier Achieving a High Unity-Gain Bandwidth for Large Capacitive Loads without Using a Compensation Zero Shin, Hongseok; Kim, Jinuk; Jang, Doojin; Cho, Donghee; Jung, Yoontae; Cho, Hyungjoo; Lee, Unbong; et al, IEEE Solid-State Circuits Letters, v.3, pp.530 - 533, 2020-12
4	Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution Cha, Eunju; Chung, Hyungjin; Kim, Eung Yeop; Ye, Jong Chulresearcher, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.1, pp.166 - 179, 2021-01
5	A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks Park, Youngjin; Baek, Seungdae; Paik, Se-Bumresearcher, NEURAL NETWORKS, v.134, pp.76 - 85, 2021-02
6	Defining cell-type specificity at the transcriptional level in human disease Ju, Wenjun; Greene, Casey S.; Eichinger, Felix; Nair, Viji; Hodgin, Jeffrey B.; Bitzer, Markus; Lee, Young-sukresearcher; et al, GENOME RESEARCH, v.23, no.11, pp.1862 - 1873, 2013-11
7	Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies Lee, Young-sukresearcher; Krishnan, Arjun; Zhu, Qian; Troyanskaya, Olga G., BIOINFORMATICS, v.29, no.23, pp.3036 - 3044, 2013-12
8	Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms Park, Christopher Y.; Krishnan, Arjun; Zhu, Qian; Wong, Aaron K.; Lee, Young-Sukresearcher; Troyanskaya, Olga G., BIOINFORMATICS, v.31, no.7, pp.1093 - 1101, 2015-04
9	IFN gamma-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment Nirschl, Christopher J.; Suarez-Farinas, Mayte; Izar, Benjamin; Prakadan, Sanjay; Dannenfelser, Ruth; Tirosh, Itay; Liu, Yong; et al, CELL, v.170, no.1, pp.127 - +, 2017-06
10	Mixed tailing by TENT4A and TENT4B shields mRNA from rapid deadenylation Lim, Jaechul; Kim, Dongwan; Lee, Young-sukresearcher; Ha, Minju; Lee, Mihye; Yeo, Jinah; Chang, Hyeshik; et al, SCIENCE, v.361, no.6403, pp.701 - +, 2018-08
11	Interpretation of an individual functional genomics experiment guided by massive public data Lee, Young-sukresearcher; Wong, Aaron K.; Tadych, Alicja; Hartmann, Boris M.; Park, Christopher Y.; DeJesus, Veronica A.; Ramos, Irene; et al, NATURE METHODS, v.15, no.12, pp.1049 - +, 2018-12
12	A Computational Framework for Genome-wide Characterization of the Human Disease Landscape Lee, Young-sukresearcher; Krishnan, Arjun; Oughtred, Rose; Rust, Jennifer; Chang, Christie S.; Ryu, Joseph; Kristensen, Vessela N.; et al, CELL SYSTEMS, v.8, no.2, pp.152 - +, 2019-02
13	Molecular Basis for the Single-Nucleotide Precision of Primary microRNA Processing Kwon, S. Chul; Baek, S. Chan; Choi, Yeon-Gil; Yang, Jihye; Lee, Young-sukresearcher; Woo, Jae-Sung; Kim, V. Narry, MOLECULAR CELL, v.73, no.3, pp.505 - +, 2019-02
14	MS1-Level Proteome Quantification Platform Allowing Maximally Increased Multiplexity for SILAC and In Vitro Chemical Labeling Choi, Yeon; Jeong, Kyowon; Shin, Sanghee; Lee, Joon Won; Lee, Young-Sukresearcher; Kim, Sangtae; Kim, Sun Ah; et al, ANALYTICAL CHEMISTRY, v.92, no.7, pp.4980 - 4989, 2020-04
15	Viral hijacking of the TENT4-ZCCHC14 complex protects viral RNAs via mixed tailing Kim, Dongwan; Lee, Young-sukresearcher; Jung, Soo-Jin; Yeo, Jinah; Seo, Jenny J.; Lee, Young-Yoon; Lim, Jaechul; et al, NATURE STRUCTURAL & MOLECULAR BIOLOGY, v.27, no.6, pp.581 - +, 2020-06
16	Deep learning for tomographic image reconstruction Wang, Ge; Ye, Jong Chulresearcher; De Man, Bruno, NATURE MACHINE INTELLIGENCE, v.2, no.12, pp.737 - 748, 2020-12
17	Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors Jeon, Woosung; Kim, Dongsupresearcher, SCIENTIFIC REPORTS, v.10, no.1, pp.22104, 2020-12
18	qMTNet: Accelerated Quantitative Magnetization Transfer Imaging with Artificial Neural Networks Luu, Huan Minh; Kim, Dong-Hyun; Kim, Jae-Woong; Choi, Seung-Hong; Park, Sung-Hongresearcher, MAGNETIC RESONANCE IN MEDICINE, v.85, no.1, pp.312 - 322, 2021-01
19	Re-engineered cell-derived extracellular matrix as a new approach to clarify the role of native ECM Yong, Insung; Oh, Seung Won; Kim, Pilnamresearcher, Methods in Cell Biology, v.156, pp.205 - 231, 2020-01
20	Does Training Improve Episodic Memory in Older Adults with Alzheimer’s Disease? Park, Jin- Hyuck; Lee, Sang Ahresearcher, Brain & Neurorehabilitation, v.12, no.2, 2020-07

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