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The relative intensities were obtained by dividing all values by the maximum intensity observed for the respective species.
Each of the variables was first standardized by dividing all values by the corresponding SDs given in Table 5.
For presenting the qRT-PCR data in the graphs we projected the data on a relative scale by dividing all values by the lowest average value (such that the lowest average is always 1).
Additional normalization was done by setting all values below 0.01 to 0.01 and by dividing all values by the median of the corresponding biological replicate values at each time-point examined (e.g. all '5a' infected:non-infected values were divided by their median).
Hierarchical clustering analysis of the 392 peaks was carried out with TigrMeV as described for gene expression data, except that metabolite quantities were normalized by dividing all values by the highest value obtained in any of the conditions tested (all normalized values ranged from 0 to 1) instead of calculating log2-ratios.
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The normalisation was performed by dividing all pO2 values in a trace by the highest pO2 value recorded in that trace, excluding pO2 values recorded during the first 10 min when determining the normalisation factor.
Synaptic responses for long-term potentiation (LTP) experiments were normalized by dividing all fEPSP slope values by the average of the five responses recorded during the 5 minutes immediately prior to high frequency stimulation (HFS).
The entire data set was then normalized by dividing all of the adjusted data set values by the calculated averaged baseline.
Spatial normalisation was achieved through multi-stage, automated, affine registration, and intensity normalisation was achieved by dividing all voxel intensities by the mean value in the occipital lobe (see [3], algorithm ML 2 for more details).
The raw data files were then opened in MS Excel ® and the signal intensity (gProcessedSignal) was normalized by dividing all data points with the signal value of the 75th percentile of all of non-control probes (gPercentileIntensityProcessedSignal), as suggested by Agilent.
Selectivity index values were calculated by dividing cytotoxicity LC50 values by the MIC values (SI = LC50/MIC).
More suggestions(15)
by grouping all values
by dividing all slopes
by comparing all values
by truncating all values
by using all values
by dividing all prescriptions
by summing all values
by multiplying all values
by ranking all values
by correcting all values
by dividing all genes
by normalizing all values
by dividing all patients
by dividing all elements
by dividing all deaths
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