Sungroh Yoon, Ph.D.
Affiliations: | 2006 | Stanford University, Palo Alto, CA |
Area:
Electronics and Electrical Engineering, Computer ScienceGoogle:
"Sungroh Yoon"Parents
Sign in to add mentor| Giovanni De Micheli | grad student | 2006 | Stanford | |
| (Genomic data mining enhanced by symbolic manipulation of Boolean functions.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Kim HK, Yu G, Park J, et al. (2020) Predicting the efficiency of prime editing guide RNAs in human cells. Nature Biotechnology |
| Bae H, Min S, Choi HS, et al. (2020) DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks. Ieee/Acm Transactions On Computational Biology and Bioinformatics |
| Jo J, Kwak B, Choi HS, et al. (2020) The Message Passing Neural Networks for Chemical Property Prediction on SMILES. Methods (San Diego, Calif.) |
| Kim HK, Kim Y, Lee S, et al. (2019) SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance. Science Advances. 5: eaax9249 |
| Baek S, Jang J, Yoon S. (2019) End-to-End Blood Pressure Prediction via Fully Convolutional Networks Ieee Access. 7: 185458-185468 |
| Hwang U, Park J, Jang H, et al. (2019) PuVAE: A Variational Autoencoder to Purify Adversarial Examples Ieee Access. 7: 126582-126593 |
| Kwon S, Yoon S. (2018) End-to-end Representation Learning for Chemical-Chemical Interaction Prediction. Ieee/Acm Transactions On Computational Biology and Bioinformatics |
| Lee S, Kim H, Park J, et al. (2018) TensorLightning: A Traffic-Efficient Distributed Deep Learning on Commodity Spark Clusters Ieee Access. 6: 27671-27680 |
| Jeon Y, Yoo J, Lee J, et al. (2017) NC-Link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data Ieee Access. 5: 5594-5608 |
| Lee T, Won J, Lim J, et al. (2017) Large-Scale Structured Sparsity via Parallel Fused Lasso on Multiple GPUs Journal of Computational and Graphical Statistics. 26: 851-864 |