[Hidetoshi Matsui] Statistical prediction of plant growth based on the analysis of time course data

PRESTO Researcher

Hidetoshi Matsui

Hidetoshi Matsui

Faculty of Data Science, Shiga University
Associate Professor

Outline

The analysis of data repeatedly measured over time offers more information than that of data at a single time point, but sometimes it makes difficult to apply the traditional statistical methods. I treat such data as smooth functional data by smoothing the original data, and then construct regression models that express the relationship between time course growth environment, gene expression profiles and plant growth.

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