Graduate studies at Western
|Abstract||Our primary interest is in determining how many gene perturbation experiments are required to determine the Various algorithms have been proposed for learning..|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Only published papers are available at libraries|
Similar books and articles
Colin Farrelly (2007). Genetic Justice Must Track Genetic Complexity. Cambridge Quarterly of Healthcare Ethics 17 (01):45-53.
Brendan Kitts (1999). Representation Operators and Computation. Minds and Machines 9 (2):223-240.
Tianjaio Chu, Two Statistical Problems for Inference to Regulatory Structure From Associations of Gene Expression Measurements with Microarrays.
Jacques Demongeot, Adrien Elena & Sylvain Sené (forthcoming). Robustness in Regulatory Networks: A Multi-Disciplinary Approach. Acta Biotheoretica.
Degeng Wang (2005). “Molecular Gene”: Interpretation in the Right Context. [REVIEW] Biology and Philosophy 20 (2-3):453-464.
Clark Glymour, Two Statistical Problems for Inference to Regulatory Structure From Associations of Gene Expression Measurements with Microarrays.
Rosario M. Piro (2011). Are All Genes Regulatory Genes? Biology and Philosophy 26 (4):595-602.
Joseph Ramsey & Clark Glymour, Experiments on the Accuracy of Algorithms for Inferring the Structure of Genetic Regulatory Networks From Microarray Expression Levels.
David Danks, Clark Glymour & Peter Spirtes (2003). The Computational and Experimental Complexity of Gene Perturbations for Regulatory Network Search. In W. H. Hsu, R. Joehanes & C. D. Page (eds.), Proceedings of IJCAI-2003 workshop on learning graphical models for computational genomics.
Added to index2009-01-28
Total downloads3 ( #213,976 of 738,363 )
Recent downloads (6 months)0
How can I increase my downloads?