Understanding complex systems through differential causal networks
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DOI: 10.1038/s41598-024-78606-w
Abstract: In the evolving landscape of data science and computational biology, Causal Networks (CNs) have emerged as a robust framework for modelling causal relationships among elements of complex systems derived from experimental data. CNs can efficiently… read more here.
Keywords: understanding complex; causal relationships; differential causal; complex systems ... See more keywords