Sentence examples for microarray processing methods from inspiring English sources

Additional details on microarray processing methods are available in [ 36].

To account for the nonnormality and intensity-dependent bias of our data, we evaluated different microarray processing methods in a systematic fashion (supplementary fig. S3, Supplementary Material online).

The bad news is that variations in protocols (for RNA labeling, hybridization, and microarray processing), statistical methods for data acquisition and normalization, and other "lab effects" can still significantly impact microarray data.

Most microarray data processing methods negate extreme expression values or alter them so that they do not lie outside the mean level of variation of the system.

Although microarray analysis has become an important tool in animal genomics, there is still the major problem that no clear consensus about the microarray data processing methods for detection of differentially expressed genes exists (Jaffrezic et al. 2007).

The microarray data processing method implemented in the PlantRGS for the identification of most suitable reference genes is based on the previous studies.

Using this approach not only can mRNA levels be validated, but also differences in microarray methodology, normalization and data processing methods.

The intensity measurement distributions resulting from the RIP-chip procedure are not tolerated by standard microarray processing and gene expression comparison methods (Cui et al. 2003; Grant et al. 2007; Russell et al. 2009).

Method of microarray processing is reported [ 12].

Selection of an appropriate statistical method for microarray processing is a significant subject of scientific discussion and although microarrays have been in use for more than fifteen years, many issues related to data analysis remain unresolved.

It allows users to efficiently identify studies and patient subgroups of interest for analysis and to perform meta-analysis immediately without the challenges posed by harmonizing heterogeneous microarray technologies, study designs, expression data processing methods and clinical data formats.