ArticleBioinformatics (Oxford, England)2017
psygenet2r: a R/Bioconductor package for the analysis of psychiatric disease genes.
Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cell type specific transcriptomic differences in depression show similar patterns between males and females but implicate distinct cell types and genes.Nature communications · 2023Pooled it
- Dysregulated adult hippocampal neurogenesis in major depressive disorder.Nature medicine · 2026Article
- Multiomic single-nucleus profiling reveals cell-type-specific epigenetic and transcriptional dysregulation in major depressive disorder brain.The international journal of neuropsychopharmacology · 2026Article
- Multi-region mNature neuroscience · 2026Article
- Pathway Analysis and Genetic Markers in Parkinson's Disease: Insights into Subtype-Specific Mechanisms.Molecular neurobiology · 2025Article
- Adverse gestational environment configures a subpopulation of ventral dentate granule cells for recruitment to drive innate anxiety.Cell reports · 2025Article
- Changes in RNA Splicing: A New Paradigm of Transcriptional Responses to Probiotic Action in the Mammalian Brain.Microorganisms · 2025Article
- Network Cluster Analysis of PPI and Phenotype Ontology for Type 1 Diabetes Mellitus.Iranian journal of biotechnology · 2024Article
- An Exploratory Pilot Study with Plasma Protein Signatures Associated with Response of Patients with Depression to Antidepressant Treatment for 10 Weeks.Biomedicines · 2020Article
- Systems Level Analysis and Identification of Pathways and Key Genes Associated with Delirium.Genes · 2020Article
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4 authors.
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Abstract
motivationPsychiatric disorders have a great impact on morbidity and mortality. Genotype-phenotype resources for psychiatric diseases are key to enable the translation of research findings to a better care of patients. PsyGeNET is a knowledge resource on psychiatric diseases and their genes, developed by text mining and curated by domain experts.
resultsWe present psygenet2r, an R package that contains a variety of functions for leveraging PsyGeNET database and facilitating its analysis and interpretation. The package offers different types of queries to the database along with variety of analysis and visualization tools, including the study of the anatomical structures in which the genes are expressed and gaining insight of gene's molecular function. Psygenet2r is especially suited for network medicine analysis of psychiatric disorders. AVAILABILITY AND IMPLEMENTATION: The package is implemented in R and is available under MIT license from Bioconductor (http://bioconductor.org/packages/release/bioc/html/psygenet2r.html). CONTACT: juanr.gonzalez@isglobal.org or laura.furlong@upf.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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