Journal – Data Science & Artificial Intelligence Laboratory

Category / Journal

Prediction of the sequence-specific cleavage activity of Cas9 variants

Nahye Kim, Hui Kwon Kim, Sungtae Lee, Jung Hwa Seo, Jae Woo Choi, Jinman Park, Seonwoo Min, Sungroh Yoon, Sung-Rae Cho, Hyongbum Henry Kim, Nature Biotechnology, https://doi.org/10.1038/s41587-020-0537-9, June 2020.
paper link

08 June 2020

Journal, Sungroh Yoon

Feature Concentration for Supervised and Semi-supervised Learning with Unbalanced Datasets in Visual Inspection

Jiyong Jang, Sungroh Yoon, IEEE Transactions on Industrial Electronics, in press.
link

05 June 2020

Journal, Sungroh Yoon

The Message Passing Neural Networks for Chemical Property Prediction on SMILES

Jeonghee Jo, Bumju Kwak, Hyun-soo Choi, Sungroh Yoon, Methods, in press.
preprint link

13 May 2020

Journal, Sungroh Yoon

Anomaly Detection by Learning Dynamics from a Graph

Jaekoo Lee, Ho Bae, Sungroh Yoon, IEEE Access, vol. 8, no. 1, pp. 64356-64365, March 2020.
paper link

30 March 2020

Journal, Sungroh Yoon

High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells

Hui Kwon Kim, Sungtae Lee, Younggwang Kim, Jinman Park, Seonwoo Min, Jae Woo Choi, Tony P Huang, Sungroh Yoon, David R Liu, Hyongbum Henry Kim, Nature Biomedical Engineering, vol. 4, pp. 111-124, January 2020.
paper link

14 January 2020

Journal, Seonwoo Min, Sungroh Yoon

Security and Privacy Issues in Deep Learning

Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon, under revision.
preprint arXiv

01 January 2020

Heonseok Ha, Ho Bae, Jaehee Jang, Journal, Sungroh Yoon, 미분류

End-to-End Blood Pressure Prediction via Fully Convolutional Networks

Sanghyun Baek, Jiyong Jang, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 185458-185468, December 2019.
paper link

31 December 2019

Journal, Sungroh Yoon

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Hyongbum Henry Kim, Science Advances, Vol. 5, no. 11, p. eaax9249, November 2019.
paper link

07 November 2019

Journal, Sungroh Yoon, 미분류

Comprehensive Ensemble in QSAR Prediction for Drug Discovery

Sunyoung Kwon, Ho Bae, Junghee Jo, Sungroh Yoon, in BMC Bioinformatics, vol. 20, no. 1, p. 521, October 2019.
paper link

26 October 2019

Journal, Sungroh Yoon, 미분류

Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee-Eun Yoon, Inha Hwang, Dana Oh, Chang-ho Yoon, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 146390-146402, October 2019.
paper link

07 October 2019

Journal, Sungroh Yoon, 미분류

Category / Journal

Prediction of the sequence-specific cleavage activity of Cas9 variants

Feature Concentration for Supervised and Semi-supervised Learning with Unbalanced Datasets in Visual Inspection

The Message Passing Neural Networks for Chemical Property Prediction on SMILES

Anomaly Detection by Learning Dynamics from a Graph

High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells

Security and Privacy Issues in Deep Learning

End-to-End Blood Pressure Prediction via Fully Convolutional Networks

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

Comprehensive Ensemble in QSAR Prediction for Drug Discovery

Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

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