Sentence examples for newly generated data from inspiring English sources
The newly generated data through the Bayesian estimation therefore can be considered more reliable and sensible and are also validated like such data available in the developed countries.
He's been busy trying to figure out how the newly generated data can be used to help him understand what the firm's liquidity will be a year from now.
For example, even for repurposed drugs, safety, efficacy, quality, and usability must be demonstrated, either from prior knowledge or through newly generated data.
We extracted the overlap between the published sequences and the newly generated data and applied our previously published custom filtering scheme6 that concentrates on parts of Y chromosome reachable with NGS (the 're-mapping filter') and minimizes the platform bias when merging datasets.
An important feature of PhosphoSitePlus is its ability to generate high-throughput phosphoproteomics data, including both low-throughput and high-throughput experimental data, and rapid sharing of the newly generated data via its website.
In the modern world, heterogeneous data streams are to be found everywhere – sensors networks, social media sites, digital pictures and videos, purchase transaction records, and mobile phone GPS signals, to name a few [28] – and on-the-fly processing of newly generated data has become an increasingly difficult challenge.
The output labels generated by the model for the unlabeled data are treated as true labels, and the models are retrained using the combination of original training data and this newly generated labeled data.
Comparison of the newly generated nanoString data with the published exon array data for this training series showed remarkable similarity between the two datasets (Fig. 1a; Supplementary Figure 2).
The final data matrix containing both GenBank and newly generated sequence data consists of 243 bufonid lineages and 7 outgroup species.
Like many other MODs [such as TAIR (1), Oryzabase (22) and Soybase (21)], MaizeGDB incorporates and integrates newly generated genomic data into its existing database and develops tools to help visualize genome structure, gene models, functional data, and genetic variability.
A new emulsion stability model analyzes various reported and newly generated experimental data demonstrating that this model can provide quantitative insight into the mechanism of emulsion decomposition and formation.
