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Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data

2023-01-18

Abstract excerpt

The advances of single-cell transcriptomic technologies have led to increasing use of single-cell RNA sequencing (scRNA-seq) data in large-scale patient cohort studies. The resulting high-dimensional data can be summarised and incorporated into patient outcome prediction models in several ways, however, there is a pressing need to understand the impact of analytical decisions on such model quality. In this study,...

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Literature Corpus work
2996b36d-ca55-55b8-b510-80d1a68965de
DOI
10.1101/2023.01.18.524481
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Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing dataDOI 10.1101/2023.01.18.524481
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