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In the TACT (Tunable Availability and Consistency Tradeoffs) model [5], the authors develop a conit-based continuous consistency model to capture the consistency spectrum using three application-independent metrics viz numerical error, order error, and staleness for the replicated data.
The genes were ranked according to the M-value (mean of the M-values for the replicated data sets), and a suitable cut-off (M-value >0.58) was determined for genes with expression greater than a 1.5 fold change.
Third, to decrease human factor errors, sample preparation was performed by two different people for the replicated reactions.
A linear model was fitted to the expression values of each probe, modified to account for the replicated samples and assuming no interaction between the genes.
While these figures are not directly comparable on account of different assessors evaluating different drug event pairs, a similar tendency was observed for the replicated assessments.
To apply this method, we first computed the mean log intensity and the standard deviation for the replicated spots within each channel.
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A.P. also composed many new songs for the group, replicating the style of the traditional material.
Values are mean ± standard error for the replicates.
One pot was kept as stock for the replicates.
RNA for the replicate cell lines was from different biological samples.
The R2 for the replicate microarray chips was found to be R2>0.98, which indicated negligible total variability between replicates.
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CEO of Professional Science Editing for Scientists @ prosciediting.com