Last Posted: Oct 10, 2019
- A large data resource of genomic copy number variation across neurodevelopmental disorders
Mehdi Zarrei, et al. Genomic Medcine, October 7, 2019 - Genome-wide Association of Endophenotypes for Schizophrenia From the Consortium on the Genetics of Schizophrenia (COGS) Study
- Genetic Risk Assessment in Psychiatry.
Peay Holly Landrum et al. Cold Spring Harbor perspectives in medicine 2019 Sep - Machine Learning Models Identify Multimodal Measurements Highly Predictive of Transdiagnostic Symptom Severity for Mood, Anhedonia, and Anxiety.
Mellem Monika S et al. Biological psychiatry. Cognitive neuroscience and neuroimaging 2019 Jul - Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records.
Wu Chi-Shin et al. Journal of affective disorders 2019 Sep 260617-623 - Evidence-Based Genetic Counseling for Psychiatric Disorders: A Road Map.
Austin Jehannine C et al. Cold Spring Harbor perspectives in medicine 2019 Sep - Identification and evaluation of cognitive deficits in schizophrenia using "Machine learning".
Vacca Antonella et al. Psychiatria Danubina 2019 Sep 31(Suppl 3) 261-264 - Using machine learning to explain the heterogeneity of schizophrenia. Realizing the promise and avoiding the hype.
Tandon Neeraj et al. Schizophrenia research 2019 Sep - Polygenic risk scores in schizophrenia with clinically significant copy number variants.
Taniguchi Satoru et al. Psychiatry and clinical neurosciences 2019 Aug - Polygenic risk scores in psychiatry: Will they be useful for clinicians?
Fullerton Janice M et al. F1000Research 2019 8
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