Sentence examples for technological bias from inspiring English sources

In my model, I employ standard methods of causal inference to address the selection problem and use pretreatment information to eliminate the technological bias.

AI bias is critically important for society to address, but instead of emphasizing the latest buzzword, why don't we focus on addressing technological bias in all its forms?

This indicates a strong technological bias of microarray data due to variation in hybridisation.

However, splice mutations were significantly more abundant in this French cohort (p=0.002), probably indicating a technological bias.

With regard to the first, the technological bias is likely to be driven by some underlying mechanisms that are poorly explained by Felder and Werblow [ 5].

This technological bias results in modulations of the read-depth profile, which are not caused by real discrete copy-number changes in some parts of the cell population.

Gene-expression microarrays allow researchers to characterize biological phenomena in a high-throughput fashion but are subject to technological biases and inevitable variabilities that arise during sample collection and processing.

Furthermore, technological biases can also be partly alleviated by our choice of analysis methods that are not overly sensitive to small numbers of differing SNPs, e.g. MDS instead of principal component analysis (PCA), and by limiting the analyses to the SNPs that have been genotyped in all the populations, instead of using imputed data.

This type of analysis may be useful to distinguish differences in the measured transcript abundances that arise from biological causes in the mRNA sample from those that come from technological biases.

However, we could, by comparing performance between replicates to the differences observed above, conclude that although some differences in SNV and indel detection were due to random experimental error, the major effect appears to be due to technological biases.

Although MPSS and, in principle, Affymetrix data can be used to estimate abundance expression levels it is likely that probe-specific effects and other technological biases will have a large effect on the estimates.