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The expression level detected by each probe set was obtained as the signal intensity (S).
The expression level detected by each probe set was obtained as the average difference (AD) value computed from MAS 5.0 algorithm (MAS5) [ 37].
Using identity > 0.8 and E-value < 1e-20 for the cutoff, the best hit obtained for a given maize transcript was assigned to the gene represented by each probe set.
In order to compare the RNA levels reported by the two probes in each pair we calculated the Pearson correlation between the expression values (log transformed) reported by each probe set in all the experiments in each dataset.
Thus multiple probe sets printed on the same array serve as an excellent case for exploring the contribution of sequence effects to the overall deviation of the transcription values reported by each probe set.
The hybridization data were analyzed using GeneChip Operating Software GCOSS, version 1.4), which uses statistical criteria to generate a 'present' or 'absent' call for genes represented by each probe set on the array.
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Hence, by counting each probe set as a unit in the GO classification system the way it is done by a majority of GO classification programs such as MappFinder, OntoExpress and the one provided by NetAffx, a bias may be introduced [ 24, 25].
Gene expression and aCGH data were combined by calculating, for each probe set, the median of all aCGH oligos located between the start and end base pair positions of the gene the probe set mapped to.
The data was first reduced to mono-tissue by taking average of each probe set between two technical replicates.
Log(2)ratios were created by dividing the median of the values of each probe set by the median of the time matched control where only probesets were selected that contained a "present" flag.
Log(2)ratios were created by dividing the median of the treatment values of each probe set by the median of the control values.
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