Sentence examples for more biologically important from inspiring English sources

Although, why GSTM1 might be more biologically important in Caucasians and GSTT1 in African-Americans is unclear.

Furthermore, it is observed that proteins involved in multiple modules tend to be more biologically important [ 15].

For this reason, it is difficult to assess the severity of impact of misregulated gene expression for any particular regenerated line, since some lines may have more biologically important genes affected than others.

Furthermore, based on the connectivity (sum of connection strengths with all other genes) genes were selected for the lean, intermediate and obese sub dataset, as genes with a high connectivity (hub genes) are thought to be more biologically important [ 103].

A combined analysis of disease susceptibility genes across multiple platforms at the pathway level is an urgent need because it can reveal more reliable and more biologically important information.

There was considerable diversity in the expression of NRG1 in both cell lines and in tumours with higher expression of NRG1β than NRG1α, suggesting, as proposed previously, that the β-isoform may be more biologically important (Lu et al, 1995).

As a result, more and more conservationists believe they must do more than identify biologically important landscapes and raise money to protect them.

With increasing implication-index there is more potential for biologically important interactions between SNPs or genes or CNVs.

This methodology, alongside traditional RNA-seq (Gan et al. 2010; Graveley et al. 2011) and locus-directed capture strategies, such as those detailed in Mercer et al. (2012), provides a means to more faithfully annotate biologically important transcripts expressed in all layers of a tissue of interest across the entire genome.

It is important to note that a statistically significant decrease of, for example, 5% or even 10% would not be biologically important and, more important, would not be sustained.

Separately, a more specific dataset of 39 human biologically important proteins, implicated in tumor-associated pathways, were used to study domain assignments.