Sentence examples for data alleviate from inspiring English sources

This transformation serves both to aid the prioritization and to facilitate better comparability between microarray datasets, as it has been suggested that rank-based transformations of microarray data alleviate some of the issues associated with comparing cross-platform, cross-laboratory data (Irizarry et al., 2005).

Meta-analysis of genome-wide association summary statistics, in contrast to direct analysis of pooled individual-level data, alleviates common concerns with privacy of study participants and avoids cumbersome integration of genotype and phenotypic data from different studies.

Using a pharmacometric approach when analyzing clinical data can alleviate many of the difficulties encountered with data derived from studies in children.

A choropleth map of the number of broiler chickens sold in 2002 was created by first performing a logarithmic transformation on the data to alleviate the problematic skewness, followed by assigning the data into five categories using a natural breaks classification.

For system identification algorithms that are scale-sensitive, re-scaling the input and output data can alleviate poor identification results due to initial inappropriate relative scaling of the data.

Such designs have the advantage of including linked exposure and health outcome data on the same individuals and can be thought of either in terms of an individual-level design supplemented by ecologic data to improve statistical power, or as an ecologic design supplemented by individual-level data to alleviate ecologic bias (Jackson et al. 2006).

The new traffic flow needs to choose the lower power level to transmit the data to alleviate interference.

Moreover, a mobile sink is widely used in industrial wireless sensor networks to collect sensory data and alleviate the "hot spot" problem effectively.

This problem of having to retrain and refresh classifiers for unknown image data to alleviate possible hit-miss results is well known.

Statistical analyses of data can alleviate the need for extensive sampling and chemical analyses of tailings to perform risk assessment on contaminant release.

Although panel data techniques alleviate this problem by controlling for unobserved time-invariant location characteristics (see, Butcher and Piehl 1998; Ousey and Hubrin 2009; Wadswarth 2010), they do not solve it completely, as there might always be unobserved time-varying features that affect both location decisions and crime rates.