Quantitating the epigenetic transformation contributing to cholesterol homeostasis using Gaussian process

To understand the impact of epigenetics on human misfolding disease, we apply Gaussian-process regression (GPR) based machine learning (ML) (GPR-ML) through variation spatial profiling (VSP). VSP generates population-based matrices describing the spatial covariance (SCV) relationships that link gene...

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Detalles Bibliográficos
Autores principales: Wang, Chao, Scott, Samantha M., Subramanian, Kanagaraj, Loguercio, Salvatore, Zhao, Pei, Hutt, Darren M., Farhat, Nicole Y., Porter, Forbes D., Balch, William E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838179/
https://www.ncbi.nlm.nih.gov/pubmed/31699992
http://dx.doi.org/10.1038/s41467-019-12969-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838179/
https://www.ncbi.nlm.nih.gov/pubmed/31699992
http://dx.doi.org/10.1038/s41467-019-12969-x

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