Article

A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning

2022-01-23

Abstract excerpt

<h4>Backround</h4> Transcriptomic profile differences between patients with bipolar disorder and healthy controls can be identified using machine learning and can provide information about the potential role of the cerebellum in the pathogenesis of bipolar disorder.With this aim, user-friendly, fully automated machine learning algorithms can achieve extremely high classification scores and disease-related predicti...

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Literature Corpus work: 4bfde47c-4cfd-5fc9-929e-9c2bcf705895
DOI: 10.1101/2022.01.22.22269384

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