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Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice

Home Page: https://doi.org/10.1093/g3journal/jkad052

R 68.61% Shell 31.39%
bayesian-methods classification cross-validation data-visualization gblup genomic-prediction machine-learning multi-omics multi-trait-analysis random-forest

vtunl_rice's Introduction

Hi there 👋

My name is Ye Bi.

  • 📊 I’m currently a Ph.D. candidate in the School of Animal Sciences at Virginia Tech.
  • 🌟 My research interests focus on incorporating artificial intelligence 🤖, computer vision 👁️, statistics 📈, phenomics 🔬, and genetics 🧬 to study animal 🐮🐷 and plant 🌱🌾sciences.
  • 📫 Know more about me: My personal website.

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