Predicting causal effects in large-scale systems from observational data

Maathuis, Marloes H, Colombo, Diego, Kalisch, Markus, Bühlmann, Peter·2010·Nature Methods

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  3. High-dimensional causal inference, DAGs and intervention DAGs
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  4. Faculty Opinions recommendation of Methods for causal inference from gene perturbation experiments and validation.
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  5. Predicting yield traits of individual field-grown Brassica napus plants from rosette-stage leaf gene expression
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  6. Distributed Computing for Gene Network Expansion in R Environment
    Diana Dolgaleva, Camilla Pelagalli, Enrico Blanzieri, Valter Cavecchia, Sergey Astafiev, Alexander Rumyantsev · 2022 · Lecture notes in computer science
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    Tyler C. Lovelace, Min Hyung Ryu, Minxue Jia, Peter J. Castaldi, Frank C. Sciurba, Craig P. Hersh, Panayiotis V. Benos · 2024 · medRxiv
  9. Comparing Causal Bayesian Networks Estimated from Data
    Sisi Ma, Roshan Tourani · 2024 · Entropy
  10. Preliminary identification of the MiR-548ah-5p/THBD axis for heart failure via DirectTarget causal framework and bioinformatics analysis
    Yixin Li, Jiaming Shuang, Na Yuan, Xiaomin Yang, Guisheng Song, Yanwen Wang, Xinyuan Cui, Yanbo Zhang, Jing Tian · 2025 · European journal of medical research
  11. Causal assessment of gene regulatory network in single-cell transcriptomics data based on Bayesian networks
    Noriaki Sato, Marco Scutari, Seiya Imoto · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  12. High-dimensional estimation using graphical models and clustering
    Philipp Rütimann · 2012 · Repository for Publications and Research Data (ETH Zurich)
  13. 373 Advanced Statistical Tools for Data Science
    A. Vaithiyanathan, A. Mohammed Shapique · 2026 · De Gruyter eBooks
  14. Statistical causal discovery in developing adverse outcome pathway
    Kyoshiro Hiki, Thong Pham, Michio Yamamoto, Takehiko I. Hayashi, Shohei Shimizu · 2026 · Environmental Toxicology and Chemistry
  15. Contributions à la génétique et l'épidémiologie des maladies complexes pour une médecine personnalisée
    Félix Balazard · 2018 · theses.fr (ABES)
  16. Inférence de réseaux causaux à partir de données interventionnelles
    Gilles Monneret · 2018
  17. Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics
    Noriaki Sato, Marco Scutari, Seiya Imoto · 2026 · Cell Reports Methods