BiS-Journal Papers(저널논문)

Recent Items

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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