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Machine learning reduced gene/non-coding RNA features that classify Schizophrenia patients accurately and highlight insightful gene clusters

2020-06-12

Abstract excerpt

Schizophrenia (SCZ) is a chronic and severely disabling neurodevelopmental disorder that affects people worldwide. RNA-seq has been a powerful method to detect the differentially expressed genes/non-coding RNAs in patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. In this study, dorsolateral prefrontal cortex (dlpfc) RNA-seq data from 254 i...

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Literature Corpus work
c6472d6c-fbb6-5ef6-8b8c-c4763a6cebd9
DOI
10.1101/2020.06.08.20125906
Open publication

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Machine learning reduced gene/non-coding RNA features that classify Schizophrenia patients accurately and highlight insightful gene clustersDOI 10.1101/2020.06.08.20125906
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