Sentence examples for based on published datasets from inspiring English sources

The objectives of this review were to calculate representative values of virus removal efficiency in wastewater treatment units based on published datasets, and to identify research topics that should be further addressed for improving implementation of the multiple-barrier system.

Our analysis based on published datasets demonstrated that CD177 expression is increased in circulating and BAL neutrophils when human volunteers were instilled with endotoxin (Fig. 1), a condition mimicking bacterial infection.

These estimates are in agreement with Q. northropi size predictions based on published datasets of azhdarchid wing proportions (e.g. [34]).

Several online databases are available which report eQTL associations based on published datasets.

A Remark: A new ethical approval was not needed for our study as all our analyses based on published microarray datasets (which also applies to the second analyzed dataset).

Experimental results obtained with mobile robots in large-scale indoor environments and based on published standard datasets illustrate the advantages of our methods over previous mapping approaches using Rao Blackwellized particle filters.

Based on published transcriptome datasets and quantitative PCR analysis, we found that 39%and26%6% of these transcription factors were regulated during C. glauca and A. glutinosa-Frankia interactions, respectively.

Genes assigned to each k-means cluster were compared to a previously described [ 13] Arabidopsis gene expression atlas, which is based on published transcriptomics datasets for floral and non-floral tissues, to identify trends in tissue-specific expression within each cluster.

Transcriptional profiles of all gene families potentially implicated in PM responses based on published studies can be found in Supplementary Dataset S5, including the list of differentially regulated genes in other genome-wide studies.

Choice of one method over another for MHC-II binding peptide prediction is typically based on published reports of their estimated performance on standard benchmark datasets.

Our quality filters were developed based on published ECG-quality algorithms [ 29, 40], as well as proprietary capnography-quality filters trained with separate datasets.