Machine learning and bioinformatic analysis of brain and blood mRNA profiles in major depressive disorder: A case–control study
Author:
Affiliation:
1. Department of Human Genetics McGill University Montreal Quebec Canada
2. Faculty of Science McGill University Montreal Quebec Canada
3. Department of Medical Genetics McGill University Health Center Montreal Quebec Canada
Funder
Canada First Research Excellence Fund
McGill University Health Centre
Publisher
Wiley
Subject
Cellular and Molecular Neuroscience,Psychiatry and Mental health,Genetics(clinical)
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajmg.b.32839
Reference37 articles.
1. Mitochondria and Mood: Mitochondrial Dysfunction as a Key Player in the Manifestation of Depression
2. Depression and suicide risk prediction models using blood-derived multi-omics data
3. Two novel variants in the DOPA decarboxylase gene: association with bipolar affective disorder
4. Single-cell mass cytometry of microglia in major depressive disorder reveals a non-inflammatory phenotype with increased homeostatic marker expression
5. Whole-blood expression of inflammasome- and glucocorticoid-related mRNAs correctly separates treatment-resistant depressed patients from drug-free and responsive patients in the BIODEP study
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