Sentence examples for gene error from inspiring English sources

The notion is that targeted medicines could help the small subset of Parkinson's patients with a particular gene error, which 23andMe can easily find in its database.

In the case of the MYBPC3 gene error, known as an autosomal dominant disorder, half a couple's embryos would be carriers of the disease, but half would not.

Huang had only carried out a lab experiment, in which he'd tried to fix a gene error that causes a blood disease.

After discovering the unusual gene error causing the six-year-old girl's problem, researcher Timothy Yu of Boston Children's Hospital believed he could create a treatment tailored to repair it.

GeneSpring's cross gene error model, which determines the likelihood of observing a specific fold change to the likelihood of observing a fold change of 1, was active during this test.

From Figure 4A the average ratio for the seven validation genes were extracted and replotted in Figure 4C, which also illustrates the standard deviation of each gene (error bars).

We had just decoded the first human genome, and scientists still spent their time searching for very specific gene errors that cause quite serious inherited problems, like muscular dystrophy.

This was found to lead to inconsistencies between the abilities of different curators to find and correct gene errors and new evidence for a gene change would have to wait until the gene was revisited.

Variances were calculated using cross-gene error model, with a p-value cutoff 0.1 (FDR.1), and multiple testing correction: Benjamini and Hochberg False Discovery Rate.

Quality control data filtering was then performed to remove signals that were present in <85% of samples (<13/15) and with expression values below that of the background as calculated by the cross-gene error model [35].

The comparison of the gene expression between the two strains was performed as follows: Microarray data were imported into the GeneSpring GX version 7.3.1 software (Agilent Technologies, CA, USA) and initial background subtractions were performed based on negative controls and intensity-dependent (Lowess) normalization using the replicate cross-gene error model implemented in the software.