Inference of Causal Networks Using a Topological Threshold
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3451626
Abstract: We propose a constraint-based algorithm, which automatically determines causal relevance thresholds, to infer causal networks from data. We call these topological thresholds. We present two methods for determining the threshold: the first seeks a set… read more here.
Keywords: inference causal; networks using; causal; threshold ... See more keywords
Interpretable AI for inference of causal molecular relationships from omics data
Sign Up to like & getrecommendations! Published in 2025 at "Science Advances"
DOI: 10.1126/sciadv.adk0837
Abstract: The discovery of molecular relationships from high-dimensional data is a major open problem in bioinformatics. Machine learning and feature attribution models have shown great promise in this context but lack causal interpretation. Here, we show… read more here.
Keywords: causal molecular; inference causal; interpretable inference; causal ... See more keywords