Because model choice as performed by ProtTest can lead to underestimating uncertainty, the maximum likelihood analyses were complemented by a Bayesian analysis that integrates over different models of evolution: rather than selecting an a priori empirical model of substitution, a reversible-jump Markov chain Monte Carlo (RJ-MCMC) was constructed to integrate over model uncertainty [57].
Using a genomic analysis that integrates gene expression and copy number variation profiling, deep sequencing data, and reverse-engineering to define the interactomes of molecular subtypes of GBM, we identified four modulators that harbor specific mutations in mesenchymal phenotype samples.
The Bayesian says that the parser is able to do this because it can do a statistical analysis that integrates bottom-up and top-down information.
Data from the letrozole 024 (LET 024) trial that compared letrozole and tamoxifen is used to illustrate a combined endpoint analysis that integrates both clinical and biomarker information.
In contrast, we propose a model for unsupervised morphological analysis that integrates orthographic and semantic views of words.
The goal in this paper is to describe a heuristic model for the statistical analysis that integrates the usual approach to designing bioassays with the added complications associated with measuring expression with DNA arrays.
Functional genomics studies of rice genes belonging to a single family can be facilitated by phylogenomic analysis that integrates diverse types of biological information in a single page view.
This study aims to design a GIS-based multi-criteria land suitability analysis that integrates agro-ecological aptitude, environmental impact and socio-economic feasibility criteria in a step-wise procedure combining recent advances in indicator selection, evaluation and weighing – exploiting information from various data sources – with functional mathematical combination procedures.
The study adopted a new method of multi-dimensional process analysis that integrates both content and sequential analyses, whereby the dimension of interaction and cognition are analyzed simultaneously.
These observations confirm that phylogenomic analysis, that integrates global expression data with phylogenetic analysis, is a useful method for identifying distinct roles for closely related gene family members.
