Sentence examples for weighted relationships from inspiring English sources

The developed FCM model consists of nodes linked by directed edges, where the nodes represent the main factors affecting cotton crop production such as texture, organic matter, pH, K, P, Mg, N, Ca, Na and cotton yield, and the directed edges show the cause effect (weighted) relationships between the soil properties and cotton yield.

Then, from the tripartite network, we get the indirect weighted relationships between drugs and diseases.

From this drug-complex-disease tripartite network, we are able to obtain indirect weighted relationships between drugs and diseases, which is a bipartite hetero-network.

We then used these weighted relationships in a FCM to test the effects of increasing or decreasing individual or groups of factors.

Two different strategies are proposed to build the prior an intrinsic GMRF, with a stationary relationship between pixels and a heterogeneous intrinsic GMRF, with a differently weighted relationship between pixels classified as molecules and background.

The amount of inflation in prediction accuracy due to population stratification and still present in the weighted relationship matrix can be assessed empirically as the relative distance between the three matrices A, G BASE, and wG.

This produces a graph with confidence-weighted relationships between each protein pair, which weighs each evidence type on the basis of its accuracy.

In this paper, we propose an alternate approach to an existing approach that handles the sum of distance-weighted closeness relationships and distance-weighted interactions assigned relative weights in the objective function.

Genome-wide association analyses were used to derive marker weights for creating weighted genomic relationship matrices.

In our approach, the sum of distance-weighted congruent objectives of normalized weighted closeness relationships and distance-weighted normalized weighted interactions are handled in the objective function.

Connecting drug-gene-disease associations is further boosted by adding protein complex information by Yu et al. (Xidan U., China) [ 3] who obtained indirect weighted bipartite relationships between drugs and diseases from the tripartite drug-gene-disease network.