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Article

A general kernel machine comparative analysis framework for randomized block designs

2025-02-08

Abstract excerpt

<h4>Motivation</h4> There are numerous potential confounders, including genetic, environmental, technical, and demographic factors. These factors may be known or unknown, measured or unmeasured; hence, it is extremely challenging to capture them in downstream data analysis. However, randomized block design is an efficient design technique to control confounding factors and to reduce variability within subjects. T...

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Literature Corpus work
9ba04e31-cca6-5e58-87f1-0e86c0b86601
DOI
10.1101/2025.02.06.636977
Open publication

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A general kernel machine comparative analysis framework for randomized block designsDOI 10.1101/2025.02.06.636977
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