Sentence examples for multiple evidence data from inspiring English sources

Due to limited data on expressed sequence tags (ESTs) and complementary DNAs (cDNAs) available for A. cerana, we established a gene annotation pipeline using multiple evidence data (Table  4).

Also, there is a need to integrate data from multiple evidence streams (human, animal, and "other relevant data" including mechanistic or in vitro studies) in order to reach conclusions regarding potential health effects from exposure to substances in our environment.

However, we also recognized the necessity to extend existing systematic review methods to accommodate our need in environmental health to integrate data from multiple evidence streams (human, animal, in vitro) and focus on observational human studies rather than on the randomized clinical trials more commonly encountered in the field of health-care intervention (NTP 2012a, 2012b).

Based on the gene ranking results of ToppGene (Supplementary Table S5), the top ranked genes tend to have multiple evidences from different data sources.

On the basis of the gene ranking results of ToppGene (detailed in the Supplementary Methods), the top 100-ranked genes tend to have multiple evidences from different data sources.

It is also leading to the development of methods to handle the assessment and integration of data within and across multiple evidence streams.

More accurate PPI detection will also improve the ability to extract experimental data related to PPIs and provide multiple evidence for each interaction.

Despite the existence of multiple data sources, evidence on the prevalence and incidence of diabetes and its complications at national and regional level is very scarce and originates mainly from surveys.

Multiple data types show field evidence for both biotic and abiotic dechlorination of TCE and its degradation products, resulting in non-chlorinated compounds.

Redundant edges in this network may exist if multiple data sources have evidence for the same interaction.

Public health-related decision-making on policies aimed at controlling epidemics is increasingly evidence-based, exploiting multiple sources of data.