Sentence examples for largest gene expression from inspiring English sources

To our knowledge these are some of the largest gene expression differences reported to date in a rodent model of depression.

For example, FAM111A and TMEM176A show the largest gene expression differences in the real-time PCR analysis with TMEM176A showing 35-fold differential regulation in the P/FC.

Once the psc values were estimated, we ranked the 637 pathways to identify the pathways exhibiting the largest gene expression perturbations in VD+, from now on also referred to as "top pathways" (TP).

The largest gene expression differences were, however, seen in genes which for the most part have not previously been linked to depression-like phenotypes (see supplementary tables S1 and S2).

As a large database of these, GEO provides the largest gene expression dataset and convenient query and downloading function.

By accounting for dataset-specific bias, we were able to assemble the largest gene expression dataset of primary breast tumours to-date (1107), from six previously published studies.

Ever since the introduction of genome-wide gene expression profiling technologies, module detection methods have been a cornerstone in the biological interpretation of large gene expression compendia1,2,3.

Overall, decomposition methods outperform all other strategies, while we do not find a clear advantage of biclustering and network inference-based approaches on large gene expression datasets.

Overall, we demonstrate that rare variants contribute to large gene expression changes across tissues and provide an integrative method for interpretation of rare variants in individual genomes.

In contrast, Mapman10 displays large gene expression datasets from different studies in a single metabolic pathway diagram, which help us to easily identify the key genes and its details in different functional categories (Fig. 3).

Traditionally, gene signatures are statistically deduced from large gene expression and proteomics datasets and have been applied as an experimental molecular diagnostic technique that is sensitive to experimental design and statistical treatment.