Statistics in molecular biology and genetics : selected proceedings of a 1997 Joint AMS-IMS-SIAM...

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作   者:Francoise Seillier-Moiseiwitsch, editor.

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ISBN:9780940600478

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简介

This e-book is the product of Project Euclid and its mission to advance scholarly communication in the field of theoretical and applied mathematics and statistics. Project Euclid was developed and deployed by the Cornell University Library and is jointly managed by Cornell and the Duke University Press.

目录

On a Markov model for chromatid interference / H. Zhao and T. Speed
Some statistical aspects of cytonuclear disequilibria / S. Datta
Diffusion process calculations for mutant genes in nonstationary populations / R. Fan and K. Lange
The coalescent with partial selfing and balancing selection : an application of structured coalescent processes / M. Nordborg
Statistical aspects of the transmission/disequilibrium test (TDT) / W. Ewens
Estimation of conditional multilocus gene identity among relatives / E. Thompson and S. Heath
A review of methods for identifying QTL's in experimental crosses / K. Broman and T. Speed
Markov chain Monte Carlo for the Bayesian analysis of evolutionary trees from aligned molecular sequences / M. Newton, B. Mau and B. Larget
Likelihoods on coalescents : a Monte Carlo sampling approach to inferring parameters from population samples of molecular data / J. Felsenstein ... [et al.]
Uses of statistical parsimony in HIV analyses / K. Crandall
Linear estimators for the evolution of transposable elements / P. Joyce ... [et al.]
A conditional approach to the detection of correlated mutations / M. Karnoub, F. Seillier-Moiseiwitsch and P.K. Sen
Correlated mutations in protein sequences : phylogenetic and structural effects / A. Lapedes ... [et al.]
Compound poisson approximations for occurences of multiple words / G. Reinert and S. Schbath
Deriving interatomic distance bounds from chemical structure / M. Trosset and G. Phillips
Protein fold class prediction is a new field for statistical classification and regression / L. Edler and J. Grassmann.

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