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A Pairwise Imputation Strategy for Retaining Predictive Features When Combining Multiple Datasets

2022-05-05

Abstract excerpt

In the training of predictive models using high-dimensional genomic data, multiple studies’ worth of data are often combined to increase sample size and improve generalizability. A drawback of this approach is that there may be different sets of features measured in each study due to variations in expression measurement platform or technology. It is often common practice to work only with the intersection of featu...

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Literature Corpus work
5083a3b7-901c-5ef8-8f37-40fc69a12f4a
DOI
10.1101/2022.05.04.490696
Open publication

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A Pairwise Imputation Strategy for Retaining Predictive Features When Combining Multiple DatasetsDOI 10.1101/2022.05.04.490696
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