Lee, H.-S.; Hong, S.-H.; Kim, G.-H.; You, H.-J.; Lee, E.-Y.; Jeong, J.-H.; Ahn, J.-W.; Kim, J.-H.
Generative Models Utilizing Padding Can Efficiently Integrate and Generate Multi-Omics Data. AI 2024, 5, 1614-1632.
https://doi.org/10.3390/ai5030078
AMA Style
Lee H-S, Hong S-H, Kim G-H, You H-J, Lee E-Y, Jeong J-H, Ahn J-W, Kim J-H.
Generative Models Utilizing Padding Can Efficiently Integrate and Generate Multi-Omics Data. AI. 2024; 5(3):1614-1632.
https://doi.org/10.3390/ai5030078
Chicago/Turabian Style
Lee, Hyeon-Su, Seung-Hwan Hong, Gwan-Heon Kim, Hye-Jin You, Eun-Young Lee, Jae-Hwan Jeong, Jin-Woo Ahn, and June-Hyuk Kim.
2024. "Generative Models Utilizing Padding Can Efficiently Integrate and Generate Multi-Omics Data" AI 5, no. 3: 1614-1632.
https://doi.org/10.3390/ai5030078
APA Style
Lee, H.-S., Hong, S.-H., Kim, G.-H., You, H.-J., Lee, E.-Y., Jeong, J.-H., Ahn, J.-W., & Kim, J.-H.
(2024). Generative Models Utilizing Padding Can Efficiently Integrate and Generate Multi-Omics Data. AI, 5(3), 1614-1632.
https://doi.org/10.3390/ai5030078