<p><b>a)</b> Distribution of likelihood value LnP(D) and the distribution of model parameter DeltaK (ΔK). All estimated values are based on 20 replicates and values of LnP(D)(±SD) and ΔK are plotted against its corresponding K. <b>b)</b> Barplots showing the results of the Bayesian cluster analysis. The colour in each barplot represents the probability of each individual to belong to an admixture group. Populations are ordered based on their population IDs as given in Table1.</p
Bayesian clustering algorithms ascertaining spatial population structure: a new computer program and...
The identification of genetically homogeneous groups of individuals is a long standing issue in popu...
<p>(a) Mean likelihood (± SD) for different number of clusters, <i>K</i>. (b) <i>ΔK</i>-values for d...
<p>a) Posterior probability of the data LnP(D) (±SD) against the number of K clusters, and increase ...
<p>For this purpose, the program was run without population information under the admixture model (i...
<p>(A) Mean (±SD) natural logarithm of the likelihood of the data [LnP(X|K)] over 10 Structure repli...
<p>Each distinct cluster is represented by a particular color. Each vertical bar represents an indiv...
<p>a) Summary bar plot of STRUCTURE run at K = 2 showing population assignments for each individual ...
<p>A. Individual assignments within population clusters in <i>Letharia</i> inferred using the Progra...
<p>This Bayesian analysis implemented in STRUCTURE <b>used</b> a model allowing admixture and assume...
<p>(a) The linear relationship between LnP(D) and <i>K</i>, (b) Δ<i>K</i> values as a function of <i...
Thesis (Ph.D.)--University of Rochester. School of Medicine & Dentistry. Dept. of Biostatistics & Co...
<p>Proportion of membership coefficient for 17 <i>G. molesta</i> populations falling into the four c...
<p>Each individual is represented by a vertical bar displaying membership coefficients to each genet...
<p>(A) Posterior probabilities (Ln Pr <i>X</i>|<i>K</i>) averaged over 20 replicate runs, (B) The <i...
Bayesian clustering algorithms ascertaining spatial population structure: a new computer program and...
The identification of genetically homogeneous groups of individuals is a long standing issue in popu...
<p>(a) Mean likelihood (± SD) for different number of clusters, <i>K</i>. (b) <i>ΔK</i>-values for d...
<p>a) Posterior probability of the data LnP(D) (±SD) against the number of K clusters, and increase ...
<p>For this purpose, the program was run without population information under the admixture model (i...
<p>(A) Mean (±SD) natural logarithm of the likelihood of the data [LnP(X|K)] over 10 Structure repli...
<p>Each distinct cluster is represented by a particular color. Each vertical bar represents an indiv...
<p>a) Summary bar plot of STRUCTURE run at K = 2 showing population assignments for each individual ...
<p>A. Individual assignments within population clusters in <i>Letharia</i> inferred using the Progra...
<p>This Bayesian analysis implemented in STRUCTURE <b>used</b> a model allowing admixture and assume...
<p>(a) The linear relationship between LnP(D) and <i>K</i>, (b) Δ<i>K</i> values as a function of <i...
Thesis (Ph.D.)--University of Rochester. School of Medicine & Dentistry. Dept. of Biostatistics & Co...
<p>Proportion of membership coefficient for 17 <i>G. molesta</i> populations falling into the four c...
<p>Each individual is represented by a vertical bar displaying membership coefficients to each genet...
<p>(A) Posterior probabilities (Ln Pr <i>X</i>|<i>K</i>) averaged over 20 replicate runs, (B) The <i...
Bayesian clustering algorithms ascertaining spatial population structure: a new computer program and...
The identification of genetically homogeneous groups of individuals is a long standing issue in popu...
<p>(a) Mean likelihood (± SD) for different number of clusters, <i>K</i>. (b) <i>ΔK</i>-values for d...