Linear mixed model (LMM) methodology is a powerful technology to analyze models containing both the fixed and random effects. The model was first proposed to estimate genetic parameters for unbalanced ...

Given the importance of cereal grain seeds as the staple food and nutrition resources for humans and animals, and raw materials for food industry, understanding the genetic architecture underlying the ...

Impact Statement: Multi-label learning is one of the hot topics in machine learning and artificial intelligence. Many of existing multi-label classification algorithms assumed that there is a linear ...