1. Frank Wimberly, David Danks, Clark Glymour & Tianjiao Chu, Problems for Structure Learning: Aggregation and Computational Complexity.
  2. Clark Glymour & Frank Wimberly (2007). 3 Actual Causes and Thought Experiments. In J. K. Campbell, M. O'Rourke & H. S. Silverstein (eds.), Causation and Explanation. Mit Press. 4--43.
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  3. Pater Spirtes, Clark Glymour, Richard Scheines, Stuart Kauffman, Valerio Aimale & Frank Wimberly, Constructing Bayesian Network Models of Gene Expression Networks From Microarray Data.
    Through their transcript products genes regulate the rates at which an immense variety of transcripts and subsequent proteins occur. Understanding the mechanisms that determine which genes are expressed, and when they are expressed, is one of the keys to genetic manipulation for many purposes, including the development of new treatments for disease. Viewing each gene in a genome as a distinct variable that is either on (expresses) or off (does not express), or more realistically as a continuous variable (the rate (...)
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