Sentence examples for simple fold change from inspiring English sources

In microarray expression experiments, a simple fold change of 2 is recommended between two conditions to obtain more reliable results.

Different expression scores based either on simple fold change-measures or on regularized Student's t-statistics are applied to spot-related gene lists and compared with special emphasis on the error characteristics of microarray expression data.

We have found that this weighting procedure improves results in comparison to simple fold changes because, for example, genes that are not expressed in the study samples might also show high – but senseless – fold changes adding additional noise to the procedure.

In the simulation study, synthetic data were used to compare an approach using Bayesian change point models with a simple fold-change approach.

The simple fold-change-based predictor/classifier classifies genes as MSMG if the ESC-to-EB gene expression ratio is more than one.

SOM training typically uses a simple fold-change (FC) scale with respect to the mean expression of each gene in the pool of all samples to detect genes of interest.

Thus, the performance of DIGRE might be improved by using a better curated pathway database; (ii) to quantify genomic changes, we only used the differentially expressed genes identified at 24 h after treatment using a simple fold-change cutoff.

This plasticity in the energy landscape may confer an evolutionary advantage over more restricted folds, and may explain why the topologically complex Ig-like domains are so prevalent when compared to more simple folds: changes in sequence that are required for functional reasons can be easily compensated for by a shift in the folding nucleus.

Simple averaging combined the fold change values from each of the two platforms.

An evaluation of ClustEx [ 29], jActiveModules [ 15], GXNA [ 21] and a simple approach based on fold change can be found in [ 29], taking identification of gene sets, pathways and microarray targets known from the literature and from the Gene Ontology for comparison.

A multitude of strategies have been proposed for this task, ranging from simple methods using only the fold change criterion to more sophisticated approaches using permutation-based statistical testing [46] or a Bayesian probabilistic framework [47].