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Machine learning-based prediction of dynamic height heterosis with pathway biomarkers in rice

2024-11-11

Abstract excerpt

The development of robust biomarkers enables accurate prediction of complex phenotypes. However, the dynamic nature of biomarkers is often underestimated since their quantitative changes during development are directly connected to phenotypic transformations, influencing both crop agronomic traits and human diseases. Here, we performed network analysis of untargeted metabolite profiles to investigate height hetero...

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Literature Corpus work
710c94e9-7332-55d7-81ae-901823017bbe
DOI
10.1101/2024.11.09.622823
Open publication

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Machine learning-based prediction of dynamic height heterosis with pathway biomarkers in riceDOI 10.1101/2024.11.09.622823
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