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Determining differential ends using this approach from our sequencing method is sensitive to thresholding and vulnerable to noise from low sampling levels; with 377,263 such reads across 18 conditions and a 6000 gene organism, only 3.5 reads per gene would be expected in each condition, assuming a uniform distribution of gene expression levels.
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In five independent runs performed by three different operators, slope, intercept and R for the BCR ABL1 and ABL1 standard curves were highly reproducible, and the expected 3-log difference between the high and low sample levels was observed in every run (Table 1).
Comparison of locus selection coefficients obtained from simulations with ng = 5, ng = 100, and 2 Nσ = 50 suggested poorer accuracy at the lowest sampling level resulted from an increase in the variance of the inferred locus selection coefficients.
However, temporal gene expression profiles usually have a short time-series with low sampling frequency and high levels of noise.
This pattern was, however, only marginally significant, most likely due to the fact that we had (because of logistic reasons) relatively low sample sizes for Ig levels.
In four of five pre-treatment samples low levels (0.07 0.09%) of the M184I mutation were observed.
Among all three samples, low levels of BED were diagnosed (<5%).
In the clinical sample, low levels of physical activity were most frequent among adolescents with mood disorders (62%, Table 2).
In glioblastoma tissue samples, low levels of PIAS3 are associated with increased pSTAT3 and increased expression of proteins produced from STAT target genes (Brantley et al, 2008).
Of the 67 24-week samples (low viral levels), the Cobas TaqMan detected 59 (88.1%; 8 undetected); the Daan test detected 33 (49.3%; 34 undetected; P < 0.001).
For CLL samples, three samples with low Mcl-1 levels and high Bcl-2 levels were sensitive to ABT-737.
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