Publications by authors named "Hantian Ding"
Article Synopsis
- The text discusses advancements in genomics, focusing on multi-trait GWAS and GS to detect genetic variants and predict trait values.
- Recent methods, while efficient, have limitations in analyzing many genotypes and do not account for population structure, leading to computational challenges.
- The authors introduce a new class of regularized multi-trait linear mixed models that improve accuracy in trait association and genetic prediction, with applications in crops like maize and sorghum.
Machine learning has been increasingly used for protein engineering. However, because the general sequence contexts they capture are not specific to the protein being engineered, the accuracy of existing machine learning algorithms is rather limited. Here, we report ECNet (evolutionary context-integrated neural network), a deep-learning algorithm that exploits evolutionary contexts to predict functional fitness for protein engineering.
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