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This dataset comprises ~3000 reads per patient sample, where each read corresponds to a particular V3 loop of an HIV variant inside the patient.
NGS assays typically generate millions to billions of reads per sample, where each pair of reads (if paired-end sequencing) originates from the same DNA fragment.
Fluorescence lifetime imaging microscopy (FLIM) generates an image from a fluorescent sample where each pixel measures the average lifetime from the corresponding focus spot.
We studied how to select a minimum set of non-unique probes to identify the presence of at most d targets in a sample where each non-unique probe can hybridize to a set of targets.
As a sensitivity analysis, we will repeat this calculation using a method appropriate for a cluster sample, where each GP forms a cluster and using only data from GPs with one GP per practice and with at least 10 patients per GP.
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Analyses were performed on 100 bootstrap samples, where each has the same size as the original sample.
This can be done by sampling the frequency offset interval in N samples, where each point corresponds to a given trajectory.
The national statistics were obtained from the summation of all provincial statistics completed in a 5-year cycle, and the errors were estimated using stratified sampling where each province was considered as a stratum (SFA 2011).
Perhaps the most basic method of sampling is 'simple random sampling', where each and every member of a population has the same chance of being included in the sample and where all possible samples of a given size have the same chance of selection.
Each 95% confidence interval in Figure 2 and Table 3 was calculated using a one or two sample (as appropriate) t-test of 3 samples, where each sample was the mean thickness per slide.
The results for 11 between-patient samples (where each sample contained a single sequence from each host), with a median of 37 sequences (range 22 119) and 442 sites (range 79 953) are shown in Tables 4 and 5.
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