Sentence examples for microarray data results from inspiring English sources
(2) Partitioning the microarray data results into groups of genes with similar expression patterns using clustering methods.
Herein, we provided an example of such a multidirectional algorithm directed for maximizing the reliability of microarray data results.
To confirm the microarray data results, the changes in miRNA expression for let-7a and let-7b were validated by RT-PCR.
Lastly, we performed exploratory analysis on citation rate within the subset of trials which shared their microarray data; results are given in Table 3 and raw covariate data in Supplementary Data S1.
The microarray data results were deposited in the Gene Expression Omnibus (GEO) public repository.
A complete set of microarray data results is available at Gene Expression Omnibus [ 26].
Independent analysis of patient microarray data resulted in the identification of 85 probe sets whose abundance changed significantly during the course of VAP (Table 2).
Therefore we examined the microarray data resulting from the Sakai strain, using genes within the K12 genome.
Unsupervised hierarchical clustering of the microarray data resulted in the expected separation between the OSE and Cepi samples.
Hierarchical clustering of the microarray data resulted in clear separations between the OSE, Cepi, NS, and CS samples.
The analysis of the microarray data resulted in 3.309 (actinomycin D), 1.019 (doxorubicin) and 134 (vincristine) probesets that showed significant expression changes.
