In this paper, a numerical procedure based on the theory of semi-Markov process is presented to study the prognosis of the cancer of cervix. Data is used to illustrate the predictive ability of the model.
Revisiting the neighbor exclusion model and its applications
β Scribed by Marcio S. Rocha
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 2010
- Tongue
- English
- Weight
- 166 KB
- Volume
- 93
- Category
- Article
- ISSN
- 0006-3525
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β¦ Synopsis
Abstract
We review the neighbor exclusion model and some of its applications to analyze the binding data of DNAβligand complexes. We revisit the closed form of the model developed by McGhee and von Hippel in 1974, showing that this classic model can be used to help studying the behavior of DNA contour and persistence lengths when interacting with intercalating ligands. We present methods to quantitatively analyze the variation of these two quantities, allowing one to determine important parameters of the interaction such as the intrinsic binding constant and the exclusion number of the ligand. Β© 2009 Wiley Periodicals, Inc. Biopolymers 93: 1β7, 2010.
This article was originally published online as an accepted preprint. The βPublished Onlineβ date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at [email protected]
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