Sentence examples for evaluated distances between from inspiring English sources
The multi QTL mapping method (MP-LDLA) gave good results for all evaluated distances between the QTL.
We use Ward's method [40] (uses an ANOVA approach to evaluate distances between clusters attempting to minimize at each step the sum of squares of any two (hypothetical) clusters that can be formed at each step) on our data set (normalized) to perform cluster analysis.
The main division among variants is between MR and MR. The first evaluates distances between the pruned supertree and each input tree, while the second evaluates distances between the supertree and extended input trees.
Standard methods such as K-means and hierarchical clustering evaluate distances between data points using all (equally weighted) features.
MDS enables one to easily visualize and evaluate distances between two objects considering at the same time the influence of all other objects.
Earth mover's distance is a method to evaluate distance between two multi-dimensional distributions by linear programming [44].
In goal programming approach, we use 1-norm distance (city-block distance) to evaluate distance between objective function and ideal point.
The last value produces an approximation of the joint distribution of two independent normal variates, whereas the setting with μ = 1 evaluates distance between a 'bivariate Cauchy' distribution and the distribution of two identically and independently distributed Cauchy random variables.
(4a) where XP : pathway distance of an enzyme route candidate XP i, i +1 : revised pathway distance between i th and (i + 1) th steps in an enzyme route candidate p i, i +1 : pathway distance between i th and (i + 1) th steps in an enzyme route candidate Finally, all the evaluated pathway distances between steps in an enzyme route candidate are multiplied.
The quality of the consensus map was evaluated by comparing the locus arrangement of the consensus map with the arrangement of loci in the individual maps, and re-evaluating the distances between the markers, with a two-point independent analysis, in the consensus map using the 'two-point' command.
It uses an analysis of variance approach to evaluate the distances between clusters.
