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Bulletin of Mathematical Biology
|
January 1, 1989
Stochastic models for heterogeneous DNA sequences
G A Churchill
Genetics
|
September 19, 2001
A statistical framework for quantitative trait mapping
S Sen, G A Churchill
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
January 1, 1996
Biases in amino acid replacement matrices and alignment scores due to rate heterogeneity
C Kelly, G A Churchill
Molecular Biology and Evolution
|
January 1, 1996
A Hidden Markov Model approach to variation among sites in rate of evolution
J Felsenstein, G A Churchill
Nature Genetics
|
December 1, 2001
Sex, flies and microarrays
G A Churchill, B Oliver
Molecular Phylogenetics and Evolution
|
November 21, 2000
The information content of a character under a Markov model of evolution
M Shpak, G A Churchill
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
July 27, 1999
Bayesian restoration of a hidden Markov chain with applications to DNA sequencing
G A Churchill, B Lazareva
Biostatistics (Oxford, England)
|
August 23, 2003
Experimental design for gene expression microarrays
M K Kerr, G A Churchill
Genetics
|
November 1, 1994
Empirical threshold values for quantitative trait mapping
G A Churchill, R W Doerge
Genetics
|
January 19, 2008
Naive application of permutation testing leads to inflated type I error rates
G A Churchill, R W Doerge
Page
of 5
Search research articles
Search
Showing results (1-10 of 46) with videos related to
Sort By:
Page
of 5
Bulletin of Mathematical Biology
|
January 1, 1989
Stochastic models for heterogeneous DNA sequences
G A Churchill
Genetics
|
September 19, 2001
A statistical framework for quantitative trait mapping
S Sen, G A Churchill
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
January 1, 1996
Biases in amino acid replacement matrices and alignment scores due to rate heterogeneity
C Kelly, G A Churchill
Molecular Biology and Evolution
|
January 1, 1996
A Hidden Markov Model approach to variation among sites in rate of evolution
J Felsenstein, G A Churchill
Nature Genetics
|
December 1, 2001
Sex, flies and microarrays
G A Churchill, B Oliver
Molecular Phylogenetics and Evolution
|
November 21, 2000
The information content of a character under a Markov model of evolution
M Shpak, G A Churchill
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
July 27, 1999
Bayesian restoration of a hidden Markov chain with applications to DNA sequencing
G A Churchill, B Lazareva
Biostatistics (Oxford, England)
|
August 23, 2003
Experimental design for gene expression microarrays
M K Kerr, G A Churchill
Genetics
|
November 1, 1994
Empirical threshold values for quantitative trait mapping
G A Churchill, R W Doerge
Genetics
|
January 19, 2008
Naive application of permutation testing leads to inflated type I error rates
G A Churchill, R W Doerge
Page
of 5