Sentence examples for ensemble partitioning from inspiring English sources

We have recently found specific disease-associated mutations that alter the ensemble partitioning of mRNA affecting gene regulation and thus cause disease [ 24].

The matrix of coefficients W i, which is a k i × k0 matrix of w lq i coefficients, is used to obtain the optimal relabeling for ensemble partitions.

In this paper, the fixed-reference approach is used, whereby an initial reference partition is used as a common representative partition for all the ensemble partitions and remains unchanged throughout the aggregation process.

The voting-based aggregation problem is concerned with searching for an optimal relabeling for each partition V i with respect to representative partition U 0 (with k0 clusters) and for a central aggregated partition denoted as Ū that summarises the ensemble partitions.

The light species ensemble is partitioned into quasi-steady and unsteady species.

As in the original model, the light species ensemble is partitioned into quasi-steady and unsteady species; the quasi-steady light species mole fractions are computed using the ideal model and the unsteady species are calculated as progress variables using rates extracted from the ideal model.

This will allow us to estimate the partition function, ensemble free energy, heat capacity, melting temperature, etc. for a context known to be NP-complete.

The second algorithm is the Hyper-Graph Partitioning Algorithm (HGPA) in which the cluster ensemble problem is formulated as partitioning the hyper-graph by cutting a minimal number of hyper-edges.

In addition to determining the minimum free energy structure and ensemble free energy via a partition function calculation [17], the significance of any secondary structure was assessed by calculation of the segment score [18] in which a comparison was made against a collection of scrambled sequences, which preserve the dinucleotide frequencies of each window.

Let u = {U i }i = 1 b denote an ensemble of partitions.

Three strategies-based on ensemble learning, partition and average LOF have been proposed to develop a better outlier recognizer.