Impact of microbial profile integration on machine learning predictions of methane production: synergies and trade-offs with physicochemical parameters
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Microbial sequencing data were rarely integrated into the prediction of methane production using machine learning (ML) models because of high dimensionality and the lack of a systematic way to evaluate the change of insight gained from modelling with only phys... ...
