Article

Semi-supervised learning improves regulatory sequence prediction with unlabeled sequences

2022-12-30

Abstract excerpt

Motivation: Genome-wide association studies have systematically identified thousands of single nucleotide polymor-phisms (SNPs) associated with complex genetic diseases. However, the majority of those SNPs were found in non-coding genomic regions, preventing the understanding of the underlying causal mechanism. Predicting molecular processes based on the DNA sequence represents a promising approach to understand t...

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Literature Corpus work: 42418572-f512-509e-9e68-84b779e44165
DOI: 10.21203/rs.3.rs-2358823/v1

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