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We implemented our fibre characteristics and the light protocols in their model (see Methods) and calculated that our common protocol (20 ms, 20 Hz, 2 s, 5 mW) should increase the local temperature by 0.38 °C, consistent with experimentally measured temperature changes6,7.
We determined the accuracy, sensitivity and specificity for both reconstruction methods and calculated optimal cut-off values to distinguish benign from malignant nodes.
We used a sigmoid function to fit the data (as described in the Materials and Methods), and calculated the mean+/−standard deviation of the t1/2 for Alexa488/InlA-bead internalization to be 19.7+/−0.2 and 28.1+/−0.4 min for MDCK and Caco-2 cells, respectively (Table 1).
We then constructed a dataset of 113,261 exon-intron quintets, each composed of an internal exon along with two flanking introns and two flanking exons (see Materials and Methods) and calculated mean mappability densities within the central exons and within the introns and exons flanking them (Fig. 2A).
We compared the fever detection rate of both Methods and calculated the difference in timing between both techniques.
Tumor volume as measured by different radiological methods and calculated as a square or bullet may lead to overestimations of tumor volume.
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Some are analyzing cooking methods and calculating the "carbon life cycles" of food.
These assumptions allowed us to estimate the angle at which the female is viewing the male at all points during the dive (see Supplementary Methods) and calculate the time at which the gorget becomes and then ceases to be visible.
The aim is to assess the difference between the methods and calculate the performance among main indicators, considering the same decision variables and constraints.
We separate these pauses from active translation bursts using a velocity threshold (see 'Materials and methods'), and calculate the 'pause-free' velocity of the ribosome.
The code and user-guide for the visualization methods and calculating the HADB thresholds are posted on GitHub: https://github.com/wassermanlab/TFBS_Visualization/archive/master.zip.
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