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Using our disturbance-regrowth method, we detected annual disturbance from 1999 to 2013 with a total area-weighted accuracy of 91 ± 2.3%.
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.
By means of the mFISH method, we detected all types of aberrations from mice exposed to either 56Fe ions or 137Cs γ rays.
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.
Using specific primer pairs to identify the VP4 gene with a one-step RT-PCR method, we detected simian rotavirus strains RRV and YK-1 in the liver of an RRV-infected SCID mouse and in the small intestine of an YK-1 infected macaque, respectively.
Using the WB method we detected 67% of plasma from NHC reactive for Stx2, but only 8% for Stx1.
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Based on this proposed iterative fingerprint data analysis method, we detect the proper cell borderline for each cell site.
Due to the increased sensitivity of this method, we detect small structural changes not previously reported for these clusters and can correlate these changes with specific reactions, ie H desorption or O adsorption in the double-layer region.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com