Article

Transfer Learning Compensates Limited Data, Batch-Effects, And Technical Heterogeneity In Single-Cell Sequencing

2021-07-23

Abstract excerpt

<h4> A bstract </h4> Tremendous advances in next-generation sequencing technology have enabled the accumulation of large amounts of omics data in various research areas over the past decade. However, study limitations due to small sample sizes, especially in rare disease clinical research, technological heterogeneity, and batch effects limit the applicability of traditional statistics and machine learning analy...

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Literature Corpus work: d2f3ed7d-a028-5854-a6ab-5444ed5f0b7b
DOI: 10.1101/2021.07.23.453486

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