David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Motivation: One approach to inferring genetic regulatory structure from microarray measurements of mRNA transcript hybridization is to estimate the associations of gene expression levels measured in repeated samples. The associations may be estimated by correlation coefﬁcients or by conditional frequencies (for discretized measurements) or by some other statistic. Although these procedures have been successfully applied to other areas, their validity when applied to microarray measurements has yet to be tested. Results: This paper describes an elementary statistical difﬁculty for all such procedures, no matter whether based on Bayesian updating, conditional independence testing, or other machine learning procedures such as simulated annealing or neural net pruning. The difﬁculty obtains if a number of cells from a common population are aggregated in a measurement of expression levels. Although there are special cases where the conditional associations are preserved under aggregation, in general inference of genetic regulatory structure based on conditional association is unwarranted. Contact: firstname.lastname@example.org..
|Keywords||No keywords specified (fix it)|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Tianjaio Chu, Two Statistical Problems for Inference to Regulatory Structure From Associations of Gene Expression Measurements with Microarrays.
Clark Glymour, Two Statistical Problems for Inference to Regulatory Structure From Associations of Gene Expression Measurements with Microarrays.
Joseph Ramsey & Clark Glymour, Experiments on the Accuracy of Algorithms for Inferring the Structure of Genetic Regulatory Networks From Microarray Expression Levels.
Sarah-Jane Leslie (2008). 'If', 'Unless', and Quantification. In R. Stainton & C. Viger (eds.), Compositionality, Context, and Semantic Values.
Frank Döring (1997). The Ramsey Test and Conditional Semantics. Journal of Philosophical Logic 26 (4):359-376.
Dan Klein & Christopher D. Manning, Conditional Structure Versus Conditional Estimation in NLP Models.
Robert Batterman (1992). Quantum Chaos and Semiclassical Mechanics. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:50 - 65.
Wolfgang Spohn (1994). On the Properties of Conditional Independence. In Paul Humphreys (ed.), Patrick Suppes, Scientific Philosopher Vol. 1: Probability and Probabilistic Causality. Kluwer.
J. Aracena & J. Demongeot (2004). Mathematical Methods for Inferring Regulatory Networks Interactions: Application to Genetic Regulation. Acta Biotheoretica 52 (4).
Hans-Rolf Gregorius (2011). The Analysis of Association Between Traits When Differences Between Trait States Matter. Acta Biotheoretica 59 (3):213-229.
Peter J. Lewis (2009). Probability, Self‐Location, and Quantum Branching. Philosophy of Science 76 (5):1009-1019.
H. M. Malm (1989). Commodification or Compensation: A Reply to Ketchum. Hypatia 4 (3):128 - 135.
Added to index2010-12-22
Total downloads3 ( #290,439 of 1,098,973 )
Recent downloads (6 months)1 ( #287,052 of 1,098,973 )
How can I increase my downloads?