Browse "Dept. of Bio and Brain Engineering(바이오및뇌공학과)" by Subject PREDICTION
Showing results 1 to 32 of 32
A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-Derived Natural Compounds Yoo, Sunyong; Yang, Hyung Chae; Lee, Seongyeong; Shin, Jaewook; Min, Seyoung; Lee, Eunjoo; Song, Minkeun; et al, FRONTIERS IN PHARMACOLOGY, v.11, 2020-11 |
| A new method for revealing correlated mutations under the structural and functional constraints in proteins Lee, Byung-Chul; Kim, Dongsup, BIOINFORMATICS, v.25, no.19, pp.2506 - 2513, 2009-10 |
| Adaptive coding of reward value by dopamine neurons Tobler, PN; Fiorillo, Christopher D.; Schultz, W, SCIENCE, v.307, no.5715, pp.1642 - 1645, 2005-03 |
| Analysis of AML genes in dysregulated molecular networks Lee, Eunjung; Jung, Hyunchul; Radivojac, Predrag; Kim, Jong-Won; Lee, Doheon, BMC BIOINFORMATICS, v.10, 2009 |
| Analysis of the residue-residue coevolution network and the functionally important residues in proteins Lee, Byung-Chul; Park, Keun-Wan; Kim, Dong-Sup, PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, v.72, no.3, pp.863 - 872, 2008-08 |
| AsiDesigner: exon-based siRNA design server considering alternative splicing Park, Young-Kyu; Park, Seong-Min; Choi, Young-Chul; Lee, Doheon; Won, Misun; Kim, Young Joo, NUCLEIC ACIDS RESEARCH, v.36, pp.97 - 103, 2008-07 |
| Automated assignment of backbone NMR peaks using constrained bipartite matching Xu, Ying; Xu, Dong; Kim, Dongsup; Olman, Victor; Razumovskaya, Jane; Jaing, Tao, COMPUTING IN SCIENCE & ENGINEERING, v.4, no.1, pp.50 - 62, 2002 |
| Building a drug-target network and its applications Lee, So-Young; Park, Keun-Wan; Kim, Dong-Sup, EXPERT OPINION ON DRUG DISCOVERY, v.4, no.11, pp.1177 - 1189, 2009-11 |
| Combining tissue transcriptomics and urine metabolomics for breast cancer biomarker identification Nam, Ho-Jung; Chung, Bong-Chul; Kim, Young-Hoon; Lee, Ki-Young; Lee, Do-Heon, BIOINFORMATICS, v.25, no.23, pp.3151 - 3157, 2009-12 |
| Deep learning-based amyloid PET positivity classification model in the Alzheimer's disease continuum by using 2-[F-18]FDG PET Kim, Suhong; Lee, Peter; Oh, Kyeong Taek; Byun, Min Soo; Yi, Dahyun; Lee, Jun Ho; Kim, Yu Kyeong; et al, EJNMMI RESEARCH, v.11, no.1, 2021-06 |
| Density-induced support vector data description Lee, K; Kim, DW; Lee, Kwang-Hyung; Lee, Doheon, IEEE TRANSACTIONS ON NEURAL NETWORKS, v.18, pp.284 - 289, 2007-01 |
| Diversity and Homogeneity in Responses of Midbrain Dopamine Neurons Fiorillo, Christopher D.; Yun, Sora R.; Song, Minryung R., JOURNAL OF NEUROSCIENCE, v.33, no.11, pp.4693 - 4709, 2013-03 |
| Drug repositioning for enzyme modulator based on human metabolite-likeness Lee, Yoon Hyeok; Choi, Hojae; Park, Seongyong; Lee, Boah; Yi, Gwan-Su, BMC BIOINFORMATICS, v.18, no.7, 2017-05 |
| Drug-drug relationship based on target information: application to drug target identification Park, Keun-Wan; Kim, Dong-Sup, BMC SYSTEMS BIOLOGY, v.5, no.2, 2011-12 |
| Effects of subclinical depression on prefrontal-striatal model-based and model-free learning Heo, Suyeon; Sung, Yoondo; Lee, Sang Wan, PLOS COMPUTATIONAL BIOLOGY, v.17, no.5, 2021-05 |
| Enhanced Thalamic Functional Connectivity with No fMRI Responses to Affected Forelimb Stimulation in Stroke-Recovered Rats Shim, Woo-Hyun; Suh, Ji-Yeon; Kim, Jeong K.; Jeong, Jaeseung; Kim, Young R., FRONTIERS IN NEURAL CIRCUITS, v.10, 2017-01 |
| Glioma grading using apparent diffusion coefficient map: application of histogram analysis based on automatic segmentation Lee, Jeong Won; Choi, Seung Hong; Kim, Ji-Hoon; Sohn, Chul-Ho; Lee, Sooyeul; Jeong, Jaeseung, NMR IN BIOMEDICINE, v.27, no.9, pp.1046 - 1052, 2014-09 |
| HMPAS: Human Membrane Protein Analysis System Kim, Min-Sung; Yi, Gwan-Su, PROTEOME SCIENCE, v.11, pp.S7 - S7, 2013-11 |
| IDDI: integrated domain-domain interaction and protein interaction analysis system Kim, Yul; Min, Bumki; Yi, Gwan-Su, PROTEOME SCIENCE, v.10, 2012-06 |
| Identifying the target mRNAs of microRNAs in colorectal cancer Kim, Shinuk; Choi, Minsoo; Cho, Kwang-Hyun, COMPUTATIONAL BIOLOGY AND CHEMISTRY, v.33, no.1, pp.94 - 99, 2009-02 |
| Inferring Pathway Activity toward Precise Disease Classification Lee, Eunjung; Chuang, Han-Yu; Kim, Jong-Won; Ideker, Trey; Lee, Doheon, PLOS COMPUTATIONAL BIOLOGY, v.4, no.11, 2008-11 |
| Multiparametric Photoacoustic Analysis of Human Thyroid Cancers In Vivo Kim, Jeesu; Park, Byullee; Ha, Jeonghoon; Steinberg, Idan; Hooper, Sarah M.; Jeong, Chaiho; Park, Eunyeong; et al, CANCER RESEARCH, v.81, no.18, pp.4849 - 4860, 2021-09 |
| Multiphasic Temporal Dynamics in Responses of Midbrain Dopamine Neurons to Appetitive and Aversive Stimuli Fiorillo, Christopher D.; Song, Minryung R.; Yun, Sora R., JOURNAL OF NEUROSCIENCE, v.33, no.11, pp.4710 - 4725, 2013-03 |
| Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies Lee, Young-suk; Krishnan, Arjun; Zhu, Qian; Troyanskaya, Olga G., BIOINFORMATICS, v.29, no.23, pp.3036 - 3044, 2013-12 |
| Percolation transition of cooperative mutational effects in colorectal tumorigenesis Shin, Dongkwan; Lee, Jong-Hoon; Gong, Jeong-Ryeol; Cho, Kwang-Hyun, NATURE COMMUNICATIONS, v.8, 2017-11 |
| Prioritization of SNPs for genome-wide association studies using an interaction model of genetic variation, gene expression, and trait variation Paik, Hyo-Jung; Kim, Jun-Ho; Lee, Sun-Jae; Heo, Hyoung-Sam; Hur, Cheol-Goo; Lee, Do-Heon, MOLECULES AND CELLS, v.33, no.4, pp.351 - 361, 2012-04 |
| Reliable permeability assay system in a microfluidic device mimicking cerebral vasculatures Yeon, Ju Hun; Na, Dokyun; Choi, Kyungsun; Ryu, Seung-Wook; Choi, Chulhee; Park, Je-Kyun, BIOMEDICAL MICRODEVICES, v.14, no.6, pp.1141 - 1148, 2012-12 |
| SH3 Domain-Peptide Binding Energy Calculations Based on Structural Ensemble and Multiple Peptide Templates Hong, Seungpyo; Chung, Taesu; Kim, Dongsup, PLOS ONE, v.5, no.9, 2010-09 |
| 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-Suk; Troyanskaya, Olga G., BIOINFORMATICS, v.31, no.7, pp.1093 - 1101, 2015-04 |
| Transient activation of midbrain dopamine neurons by reward risk. Fiorillo, Christopher D., NEUROSCIENCE, v.197, pp.162 - 171, 2011-12 |
| Two Dimensions of Value: Dopamine Neurons Represent Reward But Not Aversiveness Fiorillo, Christopher D., SCIENCE, v.341, no.6145, pp.546 - 549, 2013-08 |
| Utilizing random Forest QSAR models with optimized parameters for target identification and its application to target-fishing server Lee, Kyoung Yeul; Lee, Minho; Kim, Dongsup, BMC BIOINFORMATICS, v.18, 2017-12 |
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Type
- 2,564 Article
- 3,454 Conference
- 582 Patent
- 491 Thesis(Master)
- 250 Thesis(Ph.D)
Open Access
Date issued
- 992 2020 - 2024
- 3,742 2010 - 2019
- 1,885 2000 - 2009
- 470 1990 - 1999
- 29 1983 - 1989