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Seongyong Park
Seongyong Park
National Cancer Institute, NIH
Подтвержден адрес электронной почты в домене nih.gov - Главная страница
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Процитировано
Процитировано
Год
Synthetic multicellular cell-to-cell communication in inkjet printed bacterial cell systems
WS Choi, D Ha, S Park, T Kim
Biomaterials 32 (10), 2500-2507, 2011
822011
Microfluidic technologies for synthetic biology
P Vinuselvi, S Park, M Kim, JM Park, T Kim, SK Lee
International journal of molecular sciences 12 (6), 3576-3593, 2011
392011
Microfabricated ratchet structure integrated concentrator arrays for synthetic bacterial cell-to-cell communication assays
S Park, X Hong, WS Choi, T Kim
Lab on a Chip 12 (20), 3914-3922, 2012
282012
A microfluidic concentrator array for quantitative predation assays of predatory microbes
S Park, D Kim, RJ Mitchell, T Kim
Lab on a Chip 11 (17), 2916-2923, 2011
252011
Drug repositioning for enzyme modulator based on human metabolite-likeness
YH Lee, H Choi, S Park, B Lee, GS Yi
BMC bioinformatics 18, 15-24, 2017
132017
Machine learning-based heavy metal ion detection using surface-enhanced Raman spectroscopy
S Park, J Lee, S Khan, A Wahab, M Kim
Sensors 22 (2), 596, 2022
122022
AFP-SRC: identification of antifreeze proteins using sparse representation classifier
M Usman, S Khan, S Park, A Wahab
Neural Computing and Applications, 1-11, 2022
92022
Sersnet: surface-enhanced Raman spectroscopy based biomolecule detection using deep neural network
S Park, J Lee, S Khan, A Wahab, M Kim
Biosensors 11 (12), 490, 2021
82021
AoP-LSE: Antioxidant proteins classification using deep latent space encoding of sequence features
M Usman, S Khan, S Park, JA Lee
Current Issues in Molecular Biology 43 (3), 1489-1501, 2021
82021
E3-targetpred: Prediction of e3-target proteins using deep latent space encoding
S Park, S Khan, A Wahab
arXiv preprint arXiv:2007.12073, 2020
62020
Development of gene expression-based random forest model for predicting neoadjuvant chemotherapy response in triple-negative breast cancer
S Park, G Yi
Cancers 14 (4), 881, 2022
52022
GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications
S Park, S Khan, M Moinuddin, UM Al-Saggaf
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
52020
GMDM: A generalized multi-dimensional distribution overlap metric for data and model quality evaluation
S Park, MS Ibrahim, A Wahab, S Khan
Digital Signal Processing 134, 103930, 2023
12023
GSSMD: New metric for robust and interpretable assay quality assessment and hit selection
S Park, S Khan
arXiv preprint arXiv:2001.06384, 2020
2020
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