Sentence examples for many independent samples from inspiring English sources

It could be applied to any experimental design that aims to sequence amplicon mixtures from many independent samples.

However, McCarthy et al. [ 26] mentioned that joint analyses "blur the boundaries of where exactly replication starts, but whichever analytical approach is taken, confirmation in many independent samples is important and it is the overall strength of the evidence of association that matters".

When combined with the low phylogenetic signal in many nuclear gene sequences, even a few such renegade gene trees can lead to great phylogenetic uncertainty and the need to sample many independent nuclear markers to recover well supported phylogenies.

The simulation study of Sprouffske et al. (2011) compares estimates of tumor progression that use multiple samples from a single tumor/patient with those obtained from cross-sectional samples from many independent tumors and finds that the cross-sectional estimates can be quite misleading due to the heterogeneity of paths to tumorigenesis seen in tumors.

I sampled as many independent bookstores as I could find, hunting for hard-to-find authors and out-of-print editions.

One of the positive features of RF is that it achieves satisfactory performance even with a limited number of samples and with many independent variables (attributes), as in the case of this current study.

Our design does not allow for a true ANOVA analysis (e.g. there is only one true plot) and this analysis is used here as if our subplot measurements were independent samples (noting that many experimental designs use this approach without the caveats) and should be interpreted as such.

Since there are many more observed phosphorylation sites than independent samples of the network configuration, the problem of finding the unique network connectivity is ill-posed.

However, like most studies involving microarray data, we have many more potential predictor variables than independent samples.

(That is, including too many independent variables given a relatively small sample size, potentially picking up on spurious relationships).

Many independent designers don't have budgets for samples beyond their own use to show vendors, or for trunk shows.