Literature DB >> 2939275

Microcomputer-based nonlinear regression analysis of ligand-binding data: application of Akaike's information criterion.

K Kamikubo, H Murase, M Murayama, K Miura.   

Abstract

Akaike's information criterion (AIC) (Akaike, H., IEEE Trans. Automat. Contr. AC-19, 716-723 (1974)) was applied to estimate statistically the number of classes of binding sites from ligand-binding data. Several sets of data were analyzed by both the AIC method and the F-test method. Good agreement was obtained between results from both methods. The present results suggest that the AIC method can be a good alternative to the F-test to estimate the number of classes of sites.

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Year:  1986        PMID: 2939275     DOI: 10.1254/jjp.40.342

Source DB:  PubMed          Journal:  Jpn J Pharmacol        ISSN: 0021-5198


  7 in total

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Authors:  Jessica Barochiner; Lucas S Aparicio; Rocío Martínez; José Boggia
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Authors:  Jocelyne Jacquemier; Emmanuelle Charafe-Jauffret; Florence Monville; Benjamin Esterni; Jean Marc Extra; Gilles Houvenaeghel; Luc Xerri; François Bertucci; Daniel Birnbaum
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  7 in total

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