Sentence examples for microarray analysis where from inspiring English sources

Hierarchical clustering is a natural first step in microarray analysis, where it enables a global view of complex microarray data.

This result was confirmed by microarray analysis where sens was found among the genes exhibiting a two-fold or greater overexpression in SOPs.

This is in sharp contrast to microarray analysis, where expression profile and scope of analysis is predetermined by target design typically employing a limited number of the most commonly characterized genes [17].

Statistics All data are expressed as mean ± SEM, except the microarray analysis where data are mean ± SD.

The unpaired two-tailed Student's t-test was used to calculate P-values for all datasets except for the microarray analysis where Wilcoxon test was used.

This pattern was also present on microarray analysis, where the primary cluster of genes differentially altered between CEE and CEE + MPA groups were related to ER signaling.

Other less rigid classification methods were developed, especially for microarray data analysis where we are usually dealing with small number of measurements.

One should not confuse the SNP clusters here with the clusters obtained from the traditional gene expression microarray data analysis, where co-expressed genes in a cluster often have similar functions.

That argument is especially true in the setting of microarray data analysis, where one is more interested in studying as many relevant genes as possible, and less interested in sacrificing possible targets for the concern of making one mistake [ 6].

We could explain this behavior by some summation of single effect treatments, exactly the same as for the morphological transformations data of the 2 cellular lines after these treatments, in agreement with the microarray data analysis where the affected genes are fewer in number than the genes involved in single treatments.

We further compared our results to our previous study based on microarray analysis [ 11], where the miRNA expression in infarcted tissue was calculated relative to the miRNA expression in healthy human hearts (independent groups of samples).