Article

Generalizing predictions to unseen sequencing profiles via deep generative models

2021-05-07

Abstract excerpt

Predictive models trained on sequencing profiles often fail to achieve expected performance when externally validated on unseen profiles. While many factors such as batch effects, small data sets, and technical errors contribute to the gap between source and unseen data distributions, it is a challenging problem to generalize the predictive models across studies without any prior knowledge of the unseen data distr...

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Identifiers and source

Literature Corpus work: 6747433c-873b-50fa-a7ab-3961865a484a
DOI: 10.1101/2021.05.06.443027

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