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In the present study, we used this setting of two different response scales of the same questions for an intra-individual comparison between the answers of these redundant questions.
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Subsequently, we used this set of genes to associate possible functions to the expression patterns observed.
We used this set of proteins and this topology as validation network for evaluating the performance of our method.
Moreover, we successfully used this set of mAbs to detect several new human ACE mutations and characterized the conformation of Pro1199Leu [54] and Trp1197Stop ACE mutations [55].
In our study, we identify a common set of proteins present in all forms of life including cellular organisms and viruses, particularly giant viruses, and we used this set of viral and cellular proteins to perform phylogenetic reconstructions.
We then used this set of consistently expressed genes and compared their expression in normal hematopoietic progenitors versus that in non-hematopoietic tissues, to identify which genes could differentiate these two tissue sources.
We have used this set of 387 genes for pathway analyses as described below.
We then used this set of genes to perform the k-means algorithm.
We used this set of data (i.e., the discovery set) in training to retrieve the combination models.
This decline is the artefact of saturation of specific plot column [ 41] that was used this set of proteomics runs.
We have now used this set of skills to produce a series of murine ES cell lines harbouring defective mtDNA.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com