Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia

BACKGROUND: Machine learning (ML) algorithms and methods offer great tools to analyze large complex genomic datasets. Our goal was to compare the genomic architecture of schizophrenia (SCZ) and autism spectrum disorder (ASD) using ML. METHODS: In this paper, we used regularized gradient boosted mach...

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Detalles Bibliográficos
Autores principales: Sardaar, Sameer, Qi, Bill, Dionne-Laporte, Alexandre, Rouleau, Guy. A., Rabbany, Reihaneh, Trakadis, Yannis J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049199/
https://www.ncbi.nlm.nih.gov/pubmed/32111185
http://dx.doi.org/10.1186/s12888-020-02503-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7049199/
https://www.ncbi.nlm.nih.gov/pubmed/32111185
http://dx.doi.org/10.1186/s12888-020-02503-5

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