Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Causal Structure Discovery (CSD) is the problem of identifying causal relationships from large quantities of data through computational methods. With the limited ability of traditional association-based computational methods to discover causal relationships, CSD methodologies are gaining popularity....

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Detalles Bibliográficos
Autores principales: Shen, Xinpeng, Ma, Sisi, Vemuri, Prashanthi, Simon, Gyorgy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031278/
https://www.ncbi.nlm.nih.gov/pubmed/32076020
http://dx.doi.org/10.1038/s41598-020-59669-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031278/
https://www.ncbi.nlm.nih.gov/pubmed/32076020
http://dx.doi.org/10.1038/s41598-020-59669-x

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