Showing results 10 to 32 of 32
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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