Using these insights, the team developed a machine learning model incorporating 13 predictors, achieving high accuracy in predicting gene selection across programs. The model provides a ranked ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...