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Through the founder analysis based on 432 random highlander samples, we proposed a three-phase model of colonizing the Tibetan Plateau, i.e., pre-LGM Time (30 kya, 4.68%), post-LGM Paleolithic Time (16.8 kya, 29.31%) and Neolithic Time (after 8 kya, 66.01% in total).
Since plasma PI3 and HNE showed some different correlations between the ARDS samples and the control samples, we proposed to combine two variables by calculating the ratio of HNE/PI3 and included it in the subsequent analyses.
Due to the fact that the current benchmark dataset contains sufficient number of negative samples and a small amount of positive samples, we proposed an improved AdaBoost called Unbalanced-AdaBoost to make the best of the negative samples.
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To address the need to learn complex policies with few samples, we propose a generalized computation graph that subsumes value-based model-free methods and model-based methods, with specific instantiations interpolating between model-free and model-based.
To maximize the chances of detecting the drug in serum samples, we propose the use of this specific ELISA test as a high-throughput screening method, combined with a classic isoelectric focusing test as a confirmatory assay.
According to multiple previous reports, a large amount of different lipid molecules, including cardiolipin, phosphotidylcholine, and phosphotidylethanolamine, should be present in the isolated samples, we propose these lipid molecules may occupy these gaps to further stabilize the respirasome (Gu et al., 2016).
In this respect, to characterize the analyze samples we propose a chemometric representation base on Principal Component Analysis which is compared to the ones based only on the relative amount of the two types of carbonate or on carbonate and collagen.
Furthermore, instead of using the random patches as the negative samples, we propose a reasonable selection criterion, in which both the saliency confidence and similarity are considered with the benefits that confusors in the surrounding background are incorporated into the classifiers update process before the drift occurs.
Since VAPB transcript amounts are very similar between control and ALS8 patients' samples, we propose that its expression is regulated at the protein level.
If a close maternal relationship is found between two or more samples, we propose maintaining in the data set the sample which produced the highest sequence quality or for which more DNA is available (if further analyses are intended).
Since many of the latter probes showed high fluorescence intensity in both transfected and untransfected samples, we propose that these probes reflect chimeric transcripts or non-specific 'read through' RNAs that incorporate the 3′ end of L1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com