Sentence examples for generated a candidate from inspiring English sources

Briefly, we generated a candidate weight matrix pool consisting of dN = 87 weight vectors, where N represents the number of data sources and d = N+1 represents possible different weights (i.e. 1 to 8), respectively.

We generated a candidate gene list of groups containing UniSeqs that are likely to be of relevance to cnidarian-dinoflagellate symbioses (Table 3).

This analysis generated a candidate list of 279 putatively occluded hLF genes, all of which were subject to RT PCR validation.

With this approach, we generated a candidate list of 11.376 sequence entries including all putative Jmjd6 orthologs and all JmjC/DSBH domain containing proteins present in Genbank, Ensembl, Uniprot, PFAM, Interpro, and SMART, independent of their annotation.

We generated a candidate catalogue of 2R-paralogues using a reciprocal best-hits strategy between the amphioxus and Xenopus gene models, validated by phylogenetic reconstruction and examination of syntenic context.

Results illustrate the critical need to balance CCS investments with generating a candidate network of arcs.

We introduce a unique method for generating a candidate network from scratch, from which the optimization model selects the optimal set of arcs to form the pipeline network.

Therefore, this paper proposes to use of a multiagent system, in which each agent autonomously behaves to maximize each criterion, for generating a candidate topology set with high diversity within a practical time frame for large-scale networks.

As a human-only solution is expensive, we adopt a hybrid human-machine approach that first uses machines to generate a candidate set of matching pairs, and then asks humans to label the pairs in the candidate set as either matching or non-matching.

While Röttjers and Faust only consider empirically established keystone taxa, our aim was to generate a candidate list for further validation but also to identify keystone OTUs, for which it might be a daunting task to collect enough empirical evidence to classify them as keystone taxa.

Such trees arise naturally, for instance, in problems which involve candidate designs at several levels of abstraction and which use stochastic optimizers such as genetic algorithms or simulated annealing to generate a candidate at one level from a parent at the previous level.