Sentence examples for prevalence of batch from inspiring English sources

These difficulties can be attributed in large part to the low S/N inherent to omics datasets, the prevalence of batch effects in omics data, and molecular heterogeneity between samples and within populations [ 30].

In addition, to reduce the prevalence of batch effects, factors such as sample collection and processing procedures, laboratory personnel, study run-dates, reagent sources, measurement instruments, and data processing methods should be carefully controlled [ 37 39].

For a typical 10% prevalence of pleurisy at batch level, losses are estimated to be approximately £2.26 per pig due to reduced carcass weight and/or increased time to slaughter [ 6].

High batch prevalence of enzootic pneumonia-like lesions is interrelated to high levels of pleurisy, which is an expected finding as both respiratory conditions share common husbandry risk factors [ 6] and Mycoplasma hyopneumoniae (main pathogen for enzootic pneumonia) contributes to the occurrence of pleurisy [ 4].

The few prior genome-wide studies which have reported bimodality may have over-estimated its prevalence, possibly due to the presence of batch effects and/or overly lenient statistical thresholds.

In Italy, a European survey showed a prevalence of Campylobacter-colonized broiler batches of 63.3% [ 9].

In relation to the application of batch medication, it is likely the prevalence of diarrhoea in the group of pigs that will be part of the process to determine whether the pigs will be subjected to antibiotic treatment.

The corresponding SHM prevalences for these 65 batches ranged from 0to33%3%, with 14 batches having a prevalence of 0 at SHM.

The overall R for the pericarditis recordings was 0.16, which improved slightly to R = 0.20 when excluding 34 complete batches of SHM recordings with a pericarditis prevalence of 0. Only one of the 65 batches from abattoirs using visual inspection without incisions into the heart had any chronic pericarditis recordings at RMI.

The likelihood for this result (assuming a binomial distribution for the sixth batch conditional on having observed a positive result and for the final three batches) is therefore given by where p i is the expected prevalence in batch i, n i is the number of samples in batch i and x i is the number of positive appendixes in batch i.

Using initial data from the first three batches, we calculated prevalence of self-reported PBS symptoms.