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Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge

Most machine learning-based methods predict outcomes rather than understanding causality. Machine learning methods have been proved to be efficient in finding correlations in data, but unskilful to determine causation. This issue severely limits the applicability of machine learning methods to infer...

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Detalles Bibliográficos
Autor principal: Lecca, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581010/
https://www.ncbi.nlm.nih.gov/pubmed/36303798
http://dx.doi.org/10.3389/fbinf.2021.746712