Sentence examples for data would predict that from inspiring English sources

However, should such studies become feasible in the future, then our data would predict that loss of daf-2 would likely have only a minimal effect on lifespan and stress resistance in the gonochoristic species.

Our data would predict that, particularly in participants with psychopathy, instructions to empathize with the confederate will increase vicarious pain activations in the insula and reduce the propensity to harm the confederate.

Our data would predict that in these fibers, it is XIAP that is able to prevent apoptosis despite the mitochondrial release of cytochrome c.

Our data would predict that at least some of these LRR domains confer resistance to bacterial (and other microorganisms) infection by direct interaction and termination of the pathogen.

These data would predict that the ratio of normal to proinflammatory HDLs would vary over time.

These data would predict that stimuli that activate the ATM-Chk2 axis such as γ-irradiation (IR) would not induce nSMase2.

With four viral genes (CST/BARTs and LF3/IR4 (six out of six positive), and EBNA1 and BARF1 (three out of six), the data were incontrovertible – although one would predict that EBNA1 at least is probably expressed in all these tumours, but below the level of our detection methods.

From the human data shown in Figure 1B D we would predict that knockdown of BMPRIA expression in the SMAD4-positive cell lines PANC-1 and MIA PaCa-2 will have functional effects, but knockdown of BMPRIA in the SMAD4-negative cell line Bx-PC3 should have no functional effect because BMP signalling is already lost because of SMAD4 loss.

In fact, one would predict that cross talk would occur.

The corollary with our data would predict the identification of a miRNA that is itself a negative regulator of dengue RNA translation or replication.

Armed with the conviction that their data would predict defaults far better than the banks, Wonga may well have been underprepared for an environment where collection is as important as selection.