FASK with Interventional Knowledge Recovers Edges from the Sachs Model
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Abstract (arXiv)
We report a procedure that, in one step from continuous data with minimal preparation, recovers the graph found by Sachs et al. citesachs2005causal, with only a few edges different. The algorithm, Fast Adjacency Skewness (FASK), relies on a mixture of linear reasoning and reasoning from the skewness of variables; the Sachs data is a good candidate for this procedure since the skewness of the variables is quite pronounced. We review the ground truth model from Sachs et al. as well as some of the fluctuations seen in the protein abundances in the system, give the Sachs model and the FASK model, and perform a detailed comparison. Some variation in hyper-parameters is explored, though the main result uses values at or near the defaults learned from work modeling fMRI data.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 May 2018.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 3; 2024: 3; 2025: 1; 2026: 2.
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- 2022Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesiscited by 54
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- 2024Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Modelscited by 16
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- 2022Sample-Specific Root Causal Inference with Latent Variablescited by 6
- 2021Causality and independence in perfectly adapted dynamical systemscited by 4
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- 2023Causal Dependence Plotscited by 2
- 2025REX: Causal discovery based on machine learning and explainability techniquescited by 1
- 2026Fast Nonparametric Conditional Independence Testing via Two-Stage Regressioncited by 1
- 2023Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?cited by 0
1 more
- 2026Fast Nonparametric Conditional Independence Testing via Two-Stage Regression16 Jun 2026
- 2026Differentiable Causal Discovery for Singular Linear Models under Confounding4 Jan 2026
- 2025REX: Causal discovery based on machine learning and explainability techniques22 Jan 2025
- 2024The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications2 Dec 2024
- 2024CausalEval: Towards Better Causal Reasoning in Language Models22 Oct 2024
- 2024Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models23 Feb 2024
- 2023Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?19 Nov 2023
- 2023Toward Falsifying Causal Graphs Using a Permutation-Based Test16 May 2023
- 2023Causal Dependence Plots7 Mar 2023
- 2022Sample-Specific Root Causal Inference with Latent Variables27 Oct 2022
- 2022Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis4 Jun 2022
- 2022The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions5 May 2022
1 more
- 2022Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesiscited by 54
- 2024The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applicationscited by 17
- 2023Toward Falsifying Causal Graphs Using a Permutation-Based Testcited by 11
- 2022Sample-Specific Root Causal Inference with Latent Variablescited by 6
- 2021Causality and independence in perfectly adapted dynamical systemscited by 4
- 2022The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventionscited by 4
- 2023Causal Dependence Plotscited by 2
- 2025REX: Causal discovery based on machine learning and explainability techniquescited by 1
- 2026Fast Nonparametric Conditional Independence Testing via Two-Stage Regressioncited by 1
- 2026Differentiable Causal Discovery for Singular Linear Models under Confoundingcited by 0
- 2026Fast Nonparametric Conditional Independence Testing via Two-Stage Regression16 Jun 2026
- 2026Differentiable Causal Discovery for Singular Linear Models under Confounding4 Jan 2026
- 2025REX: Causal discovery based on machine learning and explainability techniques22 Jan 2025
- 2024The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications2 Dec 2024
- 2023Toward Falsifying Causal Graphs Using a Permutation-Based Test16 May 2023
- 2023Causal Dependence Plots7 Mar 2023
- 2022Sample-Specific Root Causal Inference with Latent Variables27 Oct 2022
- 2022Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis4 Jun 2022
- 2022The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions5 May 2022
- 2021Causality and independence in perfectly adapted dynamical systems28 Jan 2021