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DEGs that differed significantly (P < 0.01) in their regulation between the diet groups' microarray analysis were selected, based on their biological relevance, and validated with the same samples by QRT- PCR analysis.
Twenty-five diffexpressedy expressed genes were randomly selected and validated with the same RNA preparations that were used to generate microarray data, and 8 out of the 25 genes were again validated with the new RNA samples from the same ovary tissues by qRT-PCR.
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The accuracy of our model has been validated with almost the same results for different alignment marks using our model and rigorous coupled wave analysis (RCWA).
The model is validated with the experimental results for the same collector in U-configuration.
Next, the adjusted model was experimentally validated using the same PEBB with a power dissipation of 11.12 kW.
Most phenotypic data were validated using the same antibodies with alternate labels.
Fresh tissue samples (tumor vs. matched normal epithelium) were subjected to whole transcriptome analysis and the results validated on the same cohort with RT quantitative real‐time PCR.
Because this project used two pre-existing instruments (both previously validated) in the same survey, with four different scenarios, internal consistency/reliability estimates were calculated for each subscale, as well as for each subscale for each scenario, using Cronbach's alpha.
Each gene was validated at the same time point and with the same FOM strain that generated a differential cDNA-AFLP profile.
The 70-gene prognostic profile was validated by the same investigators in 295 consecutive patients with primary breast cancer [ 75].
Simulation results were compared and validated with those obtained in the same range of experimental tests of the prototype in wave tank.
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