Sentence examples for correction platforms from inspiring English sources

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Comparing both gene correction platforms, we found no obvious difference regarding targeting efficiency (data not shown).

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Targeted gene editing allowing precise DNA correction via platforms such as ZFNs, TALENs and CRISPR/Cas9 may now offer promising strategies to improve the safety and efficacy of gene therapy in the future.

While not everything has been put in place, it appears the necessary ingredients for a conversational platform correction, open conversational platform – have been added to the mix.

Background correction is platform specific, helps to remove nonspecific signal from total signal and corrects for between-array artefacts.

This image type can be 8-bit, 24-bit or 32-bit, has lossless compression, is endorsed by the World Wide Web Consortium (W3C), can store alpha channel (variable) transparency, supports gamma correction (cross-platform control of image brightness), and supports two-dimensional interlacing (a method of progressive display).

There was no difference in effectiveness of spherical correction between laser platforms for both myopic and mixed astigmatism (p = 0.969, p = 0.236).

The NKI gene expression data were generated on microarrays and a platform correction was necessary for these comparisons.

After multiple testing correction the microarray platform contains four pathways below a threshold of 0.1 all of which are found in the sequencing data.

Probesets were mapped to the human genome in the annotate and hgu133plus2.db software packages.> The COMBAT (empirical Bayes [ 33]) batch correction and cross-platform normalization method which is implemented in the inSilicoMerging package [ 34], was used to merge all normalized microarray datasets into one global merged dataset.

Of note, although no gene was differentially expressed with labor based on the HTA platform after multiple testing correction, the ability of this platform to rank truly differentially expressed genes at the top of the list is only slightly lower than the one of DriverMap and surpasses then one of RNA-Seq (Fig. 2B).

Merling RK, Sweeney CL, Chu J, Bodansky A, Choi U, Priel DL, et al. An AAVS1-targeted minigene platform for correction of iPSCs from all five types of chronic granulomatous disease.

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