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For example, background levels of hybridization (i.e. hybridization to a probe that occurs irrespective of the corresponding transcript's expression level) limit the accuracy of microarray expression measurements, particularly for transcripts present at low abundance.
Real-time PCR confirmed microarray expression measurements of selected genes.
The correspondence between the qRT-PCR and microarray expression measurements is shown in Figure 1.
Real-time quantitative PCR was performed to provide an independent assessment of microarray expression measurements for selected genes.
Microarray expression measurements with a flag of greater than 5000 indicating a low quality spot were filtered out.
The miRNA microarray expression measurements were performed on GeneChip miRNA microarrays V1.0 (Affymetrix, Santa Clara, CA, USA) according to the manufacturer's instructions.
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Ideally a known state should be used, such as one obtained from a previous microarray expression measurement.
The method uses the relationship between inter-patient gene expression based proximities and inter-patient viral titer based proximities to define the association between microarray gene expression measurements of each gene and viral-titer measurements.
One approach is to compare microarray based expression measurements of the ER to those of IHC and define the threshold value as the probe level that best separates ER positive from ER negative tumours, determined according to conventional methodologies[5].
The model was based on 1000 bootstrap samples of the training set, with 1000 classification trees generated with a view to classifying cases as "inflammatory" and "not-inflammatory" on the basis of microarray gene expression measurements.
The microarray gene expression measurements of the selected genes were validated by real time RT-qPCR.
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