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

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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Bibliographic Details
Main Author: Paola Lecca
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Bioinformatics
Subjects:
machine learning
deep learning
causality
inference
causal thinking
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fbinf.2021.746712/full

Internet

https://www.frontiersin.org/articles/10.3389/fbinf.2021.746712/full

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