Sentence examples for populations of samples from inspiring English sources

Move the populations of samples by, using the genetic transition kernel according to.

(iii) Move the populations of samples by, using the genetic transition kernel according to crossover, mutation or exchange steps as described below.

The typical problem we want to solve is, given two populations of arrayCGH data corresponding to two populations of samples, to design a classifier that is able to predict which population any new sample belongs to.

In this paper, we present an analytical platform that can perform saccharification analysis in a 96-well plate format, and has been developed to allow the screening of lignocellulose digestibility of large populations of samples from varied plant species.

Two putative autosomal genes, ENSTGUG00000002932 and ENSTGUG00000013338 that showed similar amplification efficiency in both populations of samples, average m:f ratio of 1 and smallest Ct variability across samples were selected as normalizing genes.

This is clearly seen in Fig. 3(c) that displays the mean exponential time constant for slow kinetics: 405 ± 62 min and for fast kinetics: 54 ± 14 min, and the mean rise time at origin for slow kinetics: 166 ± 35 min and for fast kinetics: 44 ± 12 min. These measurements allow a clear discrimination between the two populations of samples.

Pair-wise comparison of FST between populations of sampled Shortwings was also conducted with ARLEQUIN 3.11 [53] and significance values were determined with 1000 permutations in the same software.

First, the shortest possible NJ-tree with populations of sample size ≥5 was constructed.

An academic study by the IAAF and a Swiss laboratory in 2011 put the prevalence of blood doping at between 1% and 48% within different "sub-populations of samples" and an average of 14% – or almost one in seven – across the entire study population.

Hence a most suitable approach for analysing them is 'metabolite fingerprinting', which is aimed at highlighting compositional similarities and exploring the overall natural variability in a population of samples.

The bootstrap method is based on the use of the original data to generate a surrogate population of samples, where the correlations contained in the original one are removed/destroyed.