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One can guess that in the hypothetical situation in which a group of two or more cell types happens to be correlated across the samples, the chances of obtaining markers will be necessarily lower than as presented here.
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With an increasing taxonomic sampling, the chances of finding slowly evolving taxa closely related to the fast-evolving ones increase.
Large samples increases the chances of finding the significant difference but sometimes it leads to wastage of resources.
MacArthur et al. (2006) demonstrated that increasing the number of incremental samples that are used to form an aggregate sample reduced the chances of accepting lots of dried fruit containing OTA at concentrations higher than a legislative limit of 10 μg kg−1.
If fewer workers are sampled, then the chances of selecting a Gp-9b clone decline precipitously.
Thus, for a fixed marker set, because a true genetic relative of the contributor has only a partial match with the crime-scene sample, the chance of a false-positive match the probability that a nonrelative also achieves the less stringent partial-match threshold greatly exceeds the probability that the same nonrelative is a false exact match.
In our case, this procedure had the additional purpose, due to the lack of replicate samples, to reduce the chances of spurious polymorphism detection and consequent inaccurate genotype calls in NILs samples.
Since analysis of many samples significantly increases the chances of finding recurrent cancer genes, our results have great potential to be beneficial for cancer research.
Multiple sampling sites increased the chances of detecting SA carriage: nasal/throat sampling identified 93.4% of carriers, while nasal/throat/groin and nasal/throat/skin lesion sampling identified 97.3% of carriers.. SA carriage was detected only in the throat, nose or groin in respectively 31.1% (n = 57), 12.0% (n = 22), and 3.2% (n = 8) of SA carriers (n = 183) (Table 2).
This was achieved by a 96- well based pipetting format for cycle sequencing set-up using only two PCR amplicons per sample which reduces the chances of contamination, handling error and sample mix-up.
But Genetic ID executives said it triple-tests each sample to narrow the chances of a false result.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com