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SpCas9 activity prediction by DeepCas9, a deep learning-based model with unparalleled generalization performance
View ORCID ProfileHui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Hyongbum Henry Kim
doi: https://doi.org/10.1101/636472
Hui Kwon Kim
1Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
2Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea
Younggwang Kim
1Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
2Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea
Sungtae Lee
1Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
Seonwoo Min
3Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
Jung Yoon Bae
1Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
Jae Woo Choi
1Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
4Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
Jinman Park
1Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
2Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea
Dongmin Jung
1Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
4Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
Sungroh Yoon
3Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
5Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
Hyongbum Henry Kim
1Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
2Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea
3Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
6Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
7Yonsei-IBS Institute, Yonsei University, Seoul, Republic of Korea
Posted May 15, 2019.
SpCas9 activity prediction by DeepCas9, a deep learning-based model with unparalleled 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
bioRxiv 636472; doi: https://doi.org/10.1101/636472
SpCas9 activity prediction by DeepCas9, a deep learning-based model with unparalleled 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
bioRxiv 636472; doi: https://doi.org/10.1101/636472
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