Sentence examples for mapping to predict from inspiring English sources

Exact(6)

That's using population trend data and GIS mapping to predict what habitats and species are at greatest risk from climate disruption's inevitable impacts.

All but two studies included direct utility mapping to predict EQ-5D utilities, while 20 studies (22%) conducted response mapping to predict responses to each EQ-5D domain.

We next used interval mapping (IM), composite-interval mapping and multiple-interval mapping to predict the location of this QTL.

To test this, Cheng et al. used multidimensional chemical mapping to predict the structures of several RNAs without their cellular cofactors.

In ESCs, some groups have used new methods for global target mapping to predict the target genes regulated by Oct4, Sox2, and Nanog, and these studies revealed the combinatorial occupancy of target gene promoters by these core factors, as well as both autoregulatory and feed-forward transcriptional circuits [ 16- 20].

Systematic literature searches were conducted to identify studies that conducted statistical mapping to predict EQ-5D utilities or responses from any source instrument and reported the estimated algorithms in sufficient detail to allow other researchers to use them to predict EQ-5D in other studies.

Similar(54)

Reads mapping to miRNA targets' antisense strand (107 reads in NI, 235 reads in I) were around 1% of reads mapping to predicted targets, i.e. possible transitive siRNA expression.

Thus, we exclude all reads mapping to predicted genes, and search for significant violations (at the 1% confidence interval) of the null-hypothesis that remaining reads should be distributed randomly among intergenic regions.

The two have used Google Earth, soil maps and topographical maps to predict the spots where ramps are most likely to grow and to expand the picking rotation.

Different inputs such as PU and SU traffic statistics can be mapped to predict throughput through trained neural networks [61].

In this section we derive maps to predict the network activity in the presence of synaptic plasticity.

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