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Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies

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第一作者： Busato, Sebastiano

作者： Busato, Sebastiano ^[1] ; Gordon, Max ; Chaudhari, Meenal ; Jensen, Ib ; Akyol, Turgut ; Andersen, Stig ; Williams, Cranos

作者单位： North Carolina State Univ ^[1]

关键词 Machine learning Deep learning Plant-associated microbiome Compositional data analysis EXPRESSION DIVERSITY MODELS

发布时间 2023-07-01

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Current opinion in plant biology

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Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies

Current opinion in plant biology

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Current opinion in plant biology

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Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies

Current opinion in plant biology

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Current opinion in plant biology

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