Sentence examples for predictions using data from from inspiring English sources

We investigated the neurite outgrowth functionality encoded by presumptive target transcripts of 63-set miRNAs and were able to support some of our predictions using data from an unrelated siRNA screening project that analyzed genes by high content screening (HCS) for their ability to regulate neurite growth in differentiated Neuro2A cells (Figure S2).

We tested these predictions using data from the case study project (n = 319), because this project collected data before and after introductory-level genetic drift instruction.

We conducted multiple-year tests of these predictions using data from the long-term study of badgers Meles meles in Wytham Woods, England.

RRs predicted in scenario B (RR = 1.22, 1.46, and 1.96) were somewhat lower than the uncorrected RRs from scenario A. Predictions using data from the cohort studies only (scenario C) were also lower than those predicted by scenario A (all studies) (RR = 1.25, 1.38, 1.67), although these differences largely disappeared after we corrected for the intercept.

This paper reports on such an evaluation, based on a combination of model calibration and prediction, using data from an infiltration test carried out in a densely fractured rock within the unsaturated zone of Yucca Mountain, Nevada.

In this study, we wish to test this prediction using data from four hybrid crosses in Sonneratia, Bruguiera and Ligularia.

Here, we test this prediction using data from 5 fully sequenced endothermic and 6 fully sequenced ectothermic vertebrates.

Additional to the ten predicted interactions, we found eight cases for which we did not detect a phylogenetically conserved binding site, but we could support our prediction using data from the literature [Additional File 1: Supplemental Materials S8 and S9].

Intra-prediction only requires data from the current picture, while inter-prediction uses data from a picture that has previously been coded and transmitted (a reference picture) and is used for eliminating temporal redundancy in P and B frames.

This paper examines the theoretical predictions of the Lazear "Jack-of-all-Trades" model of entrepreneurship when multiple periods are allowed and then tests those predictions using data collected from a sample of Iowa State University bachelor's degree recipients from 1982 2006.

As mentioned, it is important to calibrate this prediction model using data from a local and contextualized cohort.