Sentence examples for microarray data requires from inspiring English sources

However, the effective use of public microarray data requires integrating the expression profiles from heterogeneous sources.

Modelling a small-scale GRN using microarray data requires adequate filtering of genes.

Thus, more accurate interpretation of microarray data requires parallel updating of the specificity of GeneChip probes.

The analysis of DNA microarray data requires preprocessing of the data, including quality-control analysis and normalization.

Recently, an improved draft genome and annotation was published (The International Silkworm Genome 2008), but a genic analysis of the present microarray data requires mapping the probe set onto the current set of predicted genes (Zha et al. 2009).

Similar methods let Hardin and Wilson (2009) conclude that microarray data require heavy-tailed noise models.

However, most of the downstream analyses for microarray data require complete datasets.

However, the total genome-wide microarray data set requires network analysis on a scale beyond the scope of this study.

The methods in this article provide a framework for thoroughly investigating whether microarray data analysis requires robust approaches, or whether we may safely rely on Gaussian assumptions.

Therefore, no additional adjustment of the microarray data was required.

To evaluate the effectiveness of coexpression measures, assessments with large-scale microarray data are required.