Sentence examples for multiple expression signatures from inspiring English sources

Though on average genes in the CNV change proportionately with copy number in these lab strain experiments, that is certainly not universally true, nor should it be: the W303 experiments, for example, have the same problem as described above, that is, the layering of multiple expression signatures, in this case the stress and/or growth rate response coupled with the copy number driven expression.

A recent paper simultaneously reviewed multiple gene expression signatures and showed that very few tumor signatures had value in predicting ER-negative breast cancer survival [ 25].

These results show the potential to use multiple gene expression signatures to a combined greater effect when the signatures represent different aspects of the cancer biology.

Finally, this work provides a simple and scalable framework for comparing and assessing the intersection of multiple gene expression signatures from disparate data sets.

From a compendium of 12 studies that included responses to influenza A subtype H5N1, reconstructed 1918 influenza A virus, and SARS coronavirus, we used meta-analysis to derive multiple gene expression signatures.

Collectively, our results revealed multiple gene expression signatures that can potentially advance our understanding of the pathologic characteristics of myositis and provide utility as molecular biomarkers for identifying the right therapeutics for myositis patients.

This analysis and investigation addresses the important issue of how multiple gene expression signatures representing different aspects of the underlying biology can be combined and how they may interact.

Since HSP90 inhibition leads to global depletion of oncogenic proteins involved in multiple signaling pathways, expression signatures have been developed to understand the mechanisms of drug action and to predict the sensitivity to treatment.

It has been shown that classification of multiple cancers based on miRNA expression signatures is more accurate than mRNA based signatures [6].

To identify accessible and permissive human cell types for efficient derivation of induced pluripotent stem cells (iPSCs), we investigated epigenetic and gene expression signatures of multiple postnatal cell types such as fibroblasts and blood cells.

However, the derivation of gene expression signatures from multiple, independent studies is hindered by a number of factors including the absence of standard experimental protocols, biological variability, and limited sample sizes.