Regression-Based Modeling of Complex Plant Traits Based on Metabolomics Data.

Abstract

Bridging metabolomics with plant phenotypic responses is challenging. Multivariate analyses account for the existing dependencies among metabolites, and regression models in particular capture such dependencies in search for association with a given trait. However, special care should be undertaken with metabolomics data. Here we propose a modeling workflow that considers all caveats imposed by such large data sets.

Plant phenotyping relevance

植物形質とメタボロームデータを結び付ける回帰モデリング・ワークフロー自体を提案しており、植物形質の推定・解析手法が中心である。

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