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This is because our method uses only S wave information, while the routine analysis uses both P and S waves.
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However, we do not feel that this study has problems with ascertainment bias because our method used discharge diagnosis ICD-9 codes to identify patients.
Because our method used the GO data as prior information to form clusters, evaluation measures such as the entropy for assessing the homogeneity of the clusters with respect to GO terms can introduce some bias.
Because our method and SW use the same algorithm to predict gene function from an association network, the difference in network quality is the only factor that makes the accuracy of the two methods different.
Because our method for Bi2Te3 nanowires synthesis uses heterogeneous nanowire structures consisting of OFF-ON-grown Bi core and post-deposited Bi2Te3 shell, the homogeneity of final nanowires should be verified.
Normalization was not necessary because our method applied the Metropolis-Hastings algorithm which uses the ratios of probabilities.
Among all, we will compare with experimental results in [43], because this method uses single viewpoint as input like our method while other methods need multiple viewpoints.
Because this method uses an oligo dT primer, RNAs lacking polyA tails are likely to be under-represented.
There is no reason to believe that the likelihood ratio test would be better for the Robust Poisson method because the method uses an incorrect likelihood.
Because this method uses an oligo (dT) primer, RNA strands lacking poly(A) tails are likely to be underrepresented.
Because this method uses linker-mediated PCR, it can be adapted for the small-scale analysis of developing germ cells.
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