<p>We generate 10 model trees for a given number of genomes (). The number of false positives (FP), the number of false negatives (FN), and the execution time (time) in a cell are the average of the finished computations (finished: the number of finished computations within 24 hours) out of 10 trials using 10 different model trees. , , and in the tables are hours, minutes, and seconds, respectively. is the number of genes in a genome, which is 100 in our experiments.</p
We consider a subfunctionalisation model of gene family evolution. A family of n genes that perform ...
<p>Italicized rows correspond to values of approximated from real cancer datasets. Each entry is me...
<p>The graph shows median estimates (black dots) and 95% HPD intervals (grey lines) against true val...
<p>We generate 10 model trees for a given number of genomes (). The number of false positives (FP), ...
<p>The figures plot (FP+FN)/2 (FP is the number of false positives and FN is the number of false neg...
<p>For each plot, 100 trees simulated under the constant rate birth-death (BD) model with incomplete...
<p>For simulated trees where all 100 tips are sampled at one point in time, we estimated the growth ...
<p><b>A</b>) Total number of living cells in groups with maximum node degree 3 in 100 simulations at...
Trees simulated using a variable-rate birth-death model, using parameter values estimated for each o...
Timetree showing averaged dates across 100 timetrees, each estimated in PhyloBayes from 100 independ...
Birth-death models (BDMs) are stochastic processes describing the processes of speciation and extinc...
<p>(a) Eight-taxon, ultrametric trees used to simulate data with a molecular clock enforced. Node ag...
<p>For setting (), we modified the birth-death tree simulations to include periods of higher () and...
<p>Computational time is depicted as a function of genome size when setting the sample size to 50, a...
Trees simulated using a constant-rate birth-death model, using parameter values estimated for each o...
We consider a subfunctionalisation model of gene family evolution. A family of n genes that perform ...
<p>Italicized rows correspond to values of approximated from real cancer datasets. Each entry is me...
<p>The graph shows median estimates (black dots) and 95% HPD intervals (grey lines) against true val...
<p>We generate 10 model trees for a given number of genomes (). The number of false positives (FP), ...
<p>The figures plot (FP+FN)/2 (FP is the number of false positives and FN is the number of false neg...
<p>For each plot, 100 trees simulated under the constant rate birth-death (BD) model with incomplete...
<p>For simulated trees where all 100 tips are sampled at one point in time, we estimated the growth ...
<p><b>A</b>) Total number of living cells in groups with maximum node degree 3 in 100 simulations at...
Trees simulated using a variable-rate birth-death model, using parameter values estimated for each o...
Timetree showing averaged dates across 100 timetrees, each estimated in PhyloBayes from 100 independ...
Birth-death models (BDMs) are stochastic processes describing the processes of speciation and extinc...
<p>(a) Eight-taxon, ultrametric trees used to simulate data with a molecular clock enforced. Node ag...
<p>For setting (), we modified the birth-death tree simulations to include periods of higher () and...
<p>Computational time is depicted as a function of genome size when setting the sample size to 50, a...
Trees simulated using a constant-rate birth-death model, using parameter values estimated for each o...
We consider a subfunctionalisation model of gene family evolution. A family of n genes that perform ...
<p>Italicized rows correspond to values of approximated from real cancer datasets. Each entry is me...
<p>The graph shows median estimates (black dots) and 95% HPD intervals (grey lines) against true val...