Sentence examples for expansion predictions from inspiring English sources

However, because gene expansion predictions are susceptible to false-positives owing to pseudogenes and annotation artifacts among other biases, we applied a stringent filter based on percentage of identity (Experimental Procedures) that reduced the number of candidate expansions to 41 (see Supplemental Folder 1 for the complete list).

The fact that these scaling behaviors persist across a heterogeneous landscape suggests that simple rules could exist for some processes of forest expansion, facilitating prediction and further modeling efforts.

These results agree with expansion-contraction predictions as well as the independently derived niche models.

Consistent with expansion-contraction predictions, allozyme results corroborated SAMOVA-inferred population structure, with a north-south break between the Suwannee and Hillsborough Rivers, separating a group of northwestern plus south Florida populations from all others.

In this article, we have described the semi-supervised training set expansion methods prediction propagation (PP) and kernel initialization (KI) that alleviate the overfitting problem of local modeling while preserving its modeling flexibility.

For better prediction performance, Yan and Wang proposed a prediction-error expansion method using linear prediction [19] which used past eight samples for prediction and the prediction coefficients were integers and the order was fixed.

For example, allozyme and mtDNA results yield mixed support for the expansion-contraction prediction that isolation-by-distance should occur within the refugium, but not outside of it, due to a longer demographic timeline and geographically restricted dispersal within the refuge.

It discusses the difference expansion and the prediction error expansion method from five versions in detail.

After the prediction, expansion embedding combined with histogram shifting techniques proposed in [10] are applied to hide information bits reversibly.

Our parameter-free model, based on a mixed-space cluster expansion, allows the prediction of the experimentally observed size and temperature dependences of the precipitate shape.

A recently developed three-dimensional eigenfunction expansion approach for prediction of the singular stress field in the neighborhood of the interfacial front of an adhesively bonded scarf joint is presented.