Sentence examples for merging results from from inspiring English sources
This study evaluates the validity of these assumptions by merging results from 689 surveys of waterfront-property owners in NC with empirical shoreline damage data collected along estuarine shorelines after Hurricanes Irene (2011) and Arthur (2014).
Such capability was realized by applying the powerful optimized evidence-theoretic K-nearest neighbor (OET-KNN) prediction algorithm [12] [14] to protein sequence representations that include sequence evolution information, and by merging results from prediction sequence windows of different sizes.
Additional analyses were performed to detect tRNAs by merging results from tRNAscan [ 96], TFAM [ 97], ARAGORN [ 98] and BLASTN [ 99].
Several machine-learning methods have been used in merging results from several search engines (Shokouhi and Si, 2011).
When accurate detection of long (e.g., >3 cM) segments of IBD is required, we recommend merging results from multiple runs of Refined IBD and filling any short (e.g., <2 cM) gaps between IBD segments.
Nodes in the tree are labeled with an initial uppercase letter to distinguish its use from an organism or ancestor (e.g., "Human" for search orderings collected using only human data and "Animal" for search orderings obtained by merging results from the multicellular animals).
It merges results from the four main polling companies to generate a daily, national poll-of-polls.
In order to merge results from multiple component search engines into a single ranked list, we design the RSF strategy that takes rank, similarity and features of lecture notes into account.
Therefore, we also merged results from experiments using eggs of different size in the analyses of fine-tuned egg rejection behaviour.
Indeed, given the huge amount of work that a proteomic analysis of plasma requires, it is preferable to develop a single orthogonal protocol consisting of several steps to detect the proteins in the 100 ng/ml range, rather than create and merge results from multiple parallel analyses, because each single analysis might not reach the desired sensitivity level.
Investigators must be able to merge results from different sources.
