Sentence examples for based on maximum likelihood analysis from inspiring English sources

To select one potential complex out of five structures, we utilized an additional phylogenetic approach based on maximum likelihood analysis to highlight clusters of interaction "hot spots" on both DDX3X and CRM-1 surface.

Based on Maximum Likelihood analysis of partial β-tubulin sequence data, isolates identified as T. marchalianum based on morphology represent a single species (Figure 2); there is no evidence for genetic structure among 19 T. marchalianum isolates.

We now present an additional, complementary approach, based on maximum likelihood analysis, which validates the functional form of a k, k '.

Tests for positive selection were based on maximum likelihood analysis of dN/dS values among C. elegans paralogs, essentially as described previously [ 6].

An alternative phylogeny was published by Karol et al. based on maximum likelihood analysis of four chloroplast genes and including many more algal taxa, in which Mesostigma is basal to charophyte green algae and sister to chlorophyte green algae [ 26].

We estimated Ne using linkage disequilibrium (LD- Ne, Waples 2006) in the program LDNe (Waples and Do 2008; setting the lowest frequency allele at 2% to avoid bias introduced by small collections) and estimated Ne using a method based on maximum likelihood pairwise sibship analysis (SA- Ne, Wang 2009) implemented in the program COLONY 2.0.0.1.

Phylogenetic analysis based on maximum likelihood and Bayesian inference methods and the population splits test suggested and supported the independent origins of indica and japonica within Asian cultivated rice.

To this end phylogenetic analysis based on maximum likelihood and bootstrap support values was used to define taxa.

The phylogenetic analysis based on Maximum Likelihood was carried out with Phyml [ 89- 91].

Confirmatory factor analysis based on maximum likelihood method (ML) is a parametric procedure and it relies on a number of assumptions which are basically similar to linear regression analysis [ 20].

We address this challenge with an integrated approach to the design of experiments and analysis of data based on maximum likelihood.