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Based on these two methods, we detected multicollineraity problem for nine variables and those variables were excluded from the analysis.
However, during the implementation of the methods, we detected certain parts of the methods that had to be manually encoded, usually in the form of (nested) loops.
Using the miRWalk database (see Methods), we detected 966 validated and 1,075 predicted genes associated with the highly co-expressed miRNAs in both cells and MVs.
Of the 48,803 markers that we compared in the triplicate experiments described in MATERIALS AND METHODS, we detected a total of 286 genes whose expression was dysregulated by a factor of >2-fold (Table S1).
From the analysis of grouped normal and cancerous tissues in dataset A ("complete grouping"; see Methods) we detected 14,573 genes (52%) out of a total of 28,087 genes that were represented in either normal or cancerous tissues only (estimated gene specificity Si = 1).
Using molecular methods, we detected three different spotted fever group rickettsiae, including Rickettsia helvetica.
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Furthermore, using surface biotinylation and live-cell labeling methods, we detect a subpopulation of STIM1 on the surface of hippocampal neurons.
Using our disturbance-regrowth method, we detected annual disturbance from 1999 to 2013 with a total area-weighted accuracy of 91 ± 2.3%.
By means of the mFISH method, we detected all types of aberrations from mice exposed to either 56Fe ions or 137Cs γ rays.
Using this method, we detected two novel missense mutations, 1375A>G (R459G) and 1378C>T (R460C), one previously described five bases deletion (1215_1219del) and three polymorphic changes.
However, despite blind spots in our method, we detected a subset of sites that changed in response to physiological conditions and thus uncovered the dynamic nature of this modification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com