Sentence examples for controls is strongly from inspiring English sources

Considering that a random guess procedure can only rank 43.7 test genes ranked at the top and 436.8 genes among top 10, the capability of our method in identifying disease genes from random controls is strongly supported.

Most importantly, we show that task performance for the TS group (but not for controls) is strongly predicted by the WM microstructure of the FM pathways that lead to the prefrontal cortex and by the functional magnetic resonance imaging blood oxygen level-dependent response in prefrontal areas connected by these tracts.

Differences between the genotypes of cases and controls were strongly significant (P = 0.0005 for rs1800497 and P = 0.001 for rs909253).

The fold increase in growth of inoculated plants over uninoculated controls was strongly affected by the interaction of test host with source host.

In addition, an independent and low-frequency-haplotype within B3 (1.1% in controls) was strongly associated and had a large effect size (p=5.16×10−7, OR=2.75 (1.80 to 4.19)) (table 1).

We've summarized direct and indirect evidence that genotype predisposes epitype and that epigenetic controls are strongly influenced by DNA and RNA sequences.

Table 1 shows that the healthy controls were strongly mismatched both with the HNSCC and with the benign tumour patients in regard of their smoking status and gender ratio.

Technology for enabling drug delivery with precise control is strongly demanded by patients with diabetes or other chronic diseases.

Furthermore, in particular the PARD6B-dependent Akt control is strongly influenced by the context; loss of PARD6B unleashes strong Akt activity together with Myc in 3D culture while Myc requirement is bypassed in 2D cell culture.

Additionally, asthma control is strongly tied to clinical management, including medication use.

Regardless, genetic deletion of Puma, a pro-apoptotic Bcl-2 family protein under p53 control, is strongly protective in both models, demonstrating that the models are capable of detecting functional contributions of p53-regulated pro-apoptotic genes to neuronal death.