METHODS AND COMPOSITIONS FOR GOVERNING PHENOTYPIC OUTCOMES IN PLANTS

    公开(公告)号:US20240221865A1

    公开(公告)日:2024-07-04

    申请号:US18412306

    申请日:2024-01-12

    CPC classification number: G16B20/00 G06N5/04 G06N20/00 G16B40/00 G06Q50/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for governing phenotypic outcomes in plants. One method includes obtaining a model input comprising time series data, wherein the time series data comprises, for each previous time point of one or more previous time points, at least one of i) first multi-omics data corresponding to a plant at the previous time point, or ii) phenotypic data corresponding to the plant at the previous time point; and processing the model input using a machine learning model to obtain a model output that comprises, for each future time point of one or more of future time points, a prediction of at least one of i) a phenotype of the plant at the future time point, or ii) second multi-omics data corresponding to the plant at the future time point.

    Methods and compositions for governing phenotypic outcomes in plants

    公开(公告)号:US11908547B2

    公开(公告)日:2024-02-20

    申请号:US16870838

    申请日:2020-05-08

    CPC classification number: G16B20/00 G06N5/04 G06N20/00 G16B40/00 G06Q50/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for governing phenotypic outcomes in plants. One method includes obtaining a model input comprising time series data, wherein the time series data comprises, for each previous time point of one or more previous time points, at least one of i) first multi-omics data corresponding to a plant at the previous time point, or ii) phenotypic data corresponding to the plant at the previous time point; and processing the model input using a machine learning model to obtain a model output that comprises, for each future time point of one or more of future time points, a prediction of at least one of i) a phenotype of the plant at the future time point, or ii) second multi-omics data corresponding to the plant at the future time point.

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