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Advancing the accuracy of dihydrouridine modification sites detection via stacking approach

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Description: Figure summarizes the development framework of the machine learning (ML)-based Stack-DHUpred. There are four main steps to it. (i) Data collection: Collecting D-modification datasets from MODOMICS, RMBase databases, and recently published papers and divided them into independent and training datasets. (ii) Baseline or single-feature model construction: constructing 66 baseline models (iii) Construction of stacked models (iv) Web application

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Figure summarizes the development framework of the machine learning (ML)-based Stack-DHUpred. There are four main steps to it. (i) Data collection: Collecting D-modification datasets from MODOMICS, RMBase databases, and recently published papers and divided them into independent and training datasets. (ii) Baseline or single-feature model construction: constructing 66 baseline models (iii) Construction of stacked models (iv) Web application

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