Gota Morota

The paper uses MeSH terms to provide biological insights into maize genetics and evolution by analyzing five maize datasets.

The paper develops MeSH-based tools for chicken gene analysis, showing MeSH improves enrichment and semantic similarity compared to GO.

This paper examines whether genomic predictors must represent causal effects to be useful for selection, showing that predictive ability alone is insufficient for causal learning in genomic selection models.