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Another and, possibly, more common reason is likely to be the genuinely high noise in early microarray experiments; I suspect that, in this case, technology progresses faster than many researchers realize.
Gene expression profiles between females and males of the pyrethroid resistant Odumasy strain were then indirectly estimated by comparing the data sets of all three microarray experiments, i.e. Odumasy females vs. Kisumu females, Kisumu females vs. Kisumu males, and Kisumu males vs. Odumasy males.
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Expression of the HXT1 and HXT3 genes encoding the two low affinity transporters was only studied in the microarray experiment, i. e. on 2% glucose.
Microarrays have been an exciting research tool for two decades, but what I find so compelling about microarray experiments in the educational context is the broad range of topics and mathematical complexity that microarray experiments generate.
To do this we treat each microarray experiment, x i as a single observation of the activity of all genes within a network.
To gain an understanding of the function of TFII-I in regulating gene expression and CTCF binding genome wide, we conducted microarray experiments following TFII-I knockdown and chromatin immunoprecipitation of CTCF followed by next generation sequencing (ChIP-seq) from the same TFII-I depleted cells.
As shown in Figure 2b and d, the binding properties from the microarray experiments and RCA-I-based FCM assays were also observed by direct inspection of these labeled cells.
We performed three microarray experiments (PC-treated RNA sample I and untreated RNA sample I; PC-treated RNA sample II and untreated RNA sample II; PC-treated RNA sample III and untreated RNA sample III) as described.
For two genes X and Y with expression values (x1, x2,... x n ) and (y1, y2,..., y n ) in n microarray experiments respectively, R X, Y) is computed as ∑ i (x i − x ¯ ) (y i − y ¯ ) ∑ i (x i − x ¯ ) 2 ∑ i (y i − y ¯ ) 2 where x ¯ and y ¯ are the mean expression value of X and Y in an experiment respectively.
A major challenge in the analysis of data from microarray experiments is high dimensionality, i.e. the number of genes is much larger than the sample size.
Tissue microarray experiments showed that the intensity of RCA-I staining is positively correlated with the TNM grades.
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