Experimentally validated AI model predicts virulence of tomato yellow leaf curl virus
A CBBL research team led by Professor Balachandran Manavalan from the Department of Integrative Biotechnology at Sungkyunkwan University has developed DeepTYLCV, an accurate and interpretable artificial intelligence model for predicting the virulence of tomato yellow leaf curl virus (TYLCV).
Image: Phys.org
A CBBL research team led by Professor Balachandran Manavalan from the Department of Integrative Biotechnology at Sungkyunkwan University has developed DeepTYLCV, an accurate and interpretable artificial intelligence model for predicting the virulence of tomato yellow leaf curl virus (TYLCV).
Originally published at Phys.org
