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Use of a graph neural network to the weighted gene co-expression network analysis of Korean native cattle
Hyo-Jun Lee, Yoonji Chung, View ORCID ProfileKi Yong Chung, Young-Kuk Kim, Jun Heon Lee, Yeong Jun Koh, Seung Hwan Lee
doi: https://doi.org/10.1101/2021.10.06.463300
Hyo-Jun Lee
1Department of Bio-AI Convergence, Chungnam National University, Daejeon 305-764, Korea
Yoonji Chung
2Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Korea
Ki Yong Chung
3Department of Beef Science, Korea National College of Agriculture and Fisheries, Wanju 54874, Korea
Young-Kuk Kim
4Department of Computer Science & Engineering, Chungnam National University, Daejeon 305-764, Korea
Jun Heon Lee
2Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Korea
Yeong Jun Koh
4Department of Computer Science & Engineering, Chungnam National University, Daejeon 305-764, Korea
Seung Hwan Lee
2Division of Animal and Dairy Science, Chungnam National University, Daejeon 305-764, Korea
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Posted October 07, 2021.
Use of a graph neural network to the weighted gene co-expression network analysis of Korean native cattle
Hyo-Jun Lee, Yoonji Chung, Ki Yong Chung, Young-Kuk Kim, Jun Heon Lee, Yeong Jun Koh, Seung Hwan Lee
bioRxiv 2021.10.06.463300; doi: https://doi.org/10.1101/2021.10.06.463300
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