Investigating trait variability of gene co-expression network architecture in brain by controlling for genomic risk of schizophrenia

The effect of schizophrenia (SCZ) genetic risk on gene expression in brain remains elusive. A popular approach to this problem has been the application of gene co-expression network algorithms (e.g., WGCNA). To improve reliability with this method it is critical to remove unwanted sources of varianc...

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Detalles Bibliográficos
Autores principales: Radulescu, Eugenia, Chen, Qiang, Pergola, Giulio, Di Carlo, Pasquale, Han, Shizhong, Shin, Joo Heon, Hyde, Thomas M., Kleinman, Joel E., Weinberger, Daniel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599557/
https://www.ncbi.nlm.nih.gov/pubmed/37831723
http://dx.doi.org/10.1371/journal.pgen.1010989

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599557/
https://www.ncbi.nlm.nih.gov/pubmed/37831723
http://dx.doi.org/10.1371/journal.pgen.1010989

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