Sentence examples for correct variability from inspiring English sources

The purpose of normalization is to correct variability associated with the various steps of the experimental procedure, such as differences in initial sample amount, RNA extraction recovery and integrity, efficiency on cDNA synthesis and differences in the overall transcriptional activity of the tissues or cells analyzed [ 10].

The abundance of each protein spot was estimated by the percentage volume (vol.%), i.e., the spot volumes were normalized as a percentage of the total volume for all the spots present in the gel to correct variability because of loading, gel staining, and destaining.

While a range of corrections exist to detect and correct for variability introduced during hybridization and due to chip quality, little attention has been paid to the impact of specimen collection, handling and processing on the resulting gene expression measures.

More importantly, however, our algorithm allows us to correct for variability in Msn2 dynamics regardless of the origin and magnitude of the variability.

However, the advantage of our approach is that we can correct for variability in Msn2 abundance, cell cycle phase and all other extrinsic variables, without specifying them or knowing which are the most important.

The lung weight index (LWI), in grams per kilogram body weight, was calculated to correct for variability in animal size.

In order to compensate for differences in intensity between lanes and correct the variability due to the staining methods, the band volumes were normalized as a percentage of the total OD of all the bands present in the gel.

Spikes served to correct for variability in RNA and DNA isolation between samples throughout the process of library construction.

To correct for variability in overall staining intensity the background fluorescence intensity of the entire image was subtracted from the intensity of the individual cell of interest.

Indeed, if this hypothesis was correct, the variability in preferences observed in females would then correspond to measurement errors rather than to true differences in preference.

Beta-2 microglobulin or GAPDH housekeeping genes were used to correct for variability between samples.