Article

Stochastic semi-supervised learning to prioritise genes from high-throughput genomic screens

2019-05-30

Abstract excerpt

Access to large-scale genomics datasets has increased the utility of hypothesis-free genome-wide analyses that result in candidate lists of genes. Often these analyses highlight several gene signals that might contribute to pathogenesis but are insufficiently powered to reach experiment-wide significance. This often triggers a process of laborious evaluation of highly-ranked genes through manual inspection of vari...

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Literature Corpus work: 8690e344-c2b4-55fe-a6ca-e7579b2d1462
DOI: 10.1101/655449

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