Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.

Journal: The international journal of neuropsychopharmacology

Published Date: Nov 26, 2020

Abstract

BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of machine learning (ML).

Authors

Bill Qi

Department of Human Genetics, McGill University, Montreal, QC, Canada.
Laura M Fiori

Department of Psychiatry, McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada.
Gustavo Turecki

Department of Psychiatry, Douglas Institute, McGill University, Montreal, QC, Canada.
Yannis J Trakadis

Department of Human Genetics, McGill University, Montreal, QC, Canada.

Keywords

Affect Antidepressive Agents Biomarkers Case-Control Studies Circulating MicroRNA Depressive Disorder, Major Humans Predictive Value of Tests RNA-Seq Severity of Illness Index Supervised Machine Learning Treatment Outcome Unsupervised Machine Learning

External Resources

View on PubMed Access via DOI PubMed (32365192)

Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.

Abstract

Authors

Keywords

External Resources

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