Sentence examples for used likelihood reconstruction from inspiring English sources

We first reconstructed the phylogeny of CA Heroines and subsequently used likelihood reconstruction to determine the basal node from which to estimate patterns of diversification.

To investigate spicule evolution, we reconstructed the microscleres and megascleres states at ancestral nodes on the molecular tree using likelihood reconstruction methods under the Mk1 model [56], with the help of Mesquite 2.74 [57] and a morphological matrix with 13 characters combined from our observations and from species descriptions in the literature (Table S3).

Our analysis included additional outgroup sequences, and used maximum likelihood reconstruction methods (as opposed to parsimony).

We inferred a character history for each character using likelihood ancestral state reconstruction methods to understand the process of individual character change as well as the change of the spore as a complex of characters.

We reconstructed ancestral areas of mustelids using the likelihood reconstruction method [ 86, 130] implemented in Mesquite v1.12 [ 131].

This can cause so-called truncation artefacts, which can at least partially be corrected with PET emission data using maximum likelihood reconstruction of attenuation and activity (MLAA) [18].

This problem can be mitigated by post-smoothing the OSEM images or by using penalised likelihood reconstruction algorithms with a penalty that favours smoothness.

Phylogenetic analyses were conducted on all sequence data sets (individual and combined) using maximum likelihood reconstruction and Bayesian inference.

With this aim, we designed a flowchart of bioinformatic analyses to confirm and standardize the phylogenetic signal of each family using maximum likelihood reconstruction (AMLR) before to its characterization by sequence logos and HMMs.

Phylogenetic analyses were conducted on sequence datasets from individual and combined DNA regions using maximum likelihood reconstruction with PhyML [ 66] and Bayesian inference as implemented in MrBayes 3.1.2 [ 67].

First, we looked at species divergence in the PC axes identified above by reconstructing the ancestral states for each protein across the phylogeny on each axis in the PCA using maximum likelihood reconstruction in the ace function of the ape package in R [ 42].