The data analysis integrates data from different data domains and enables the user to find answers to different systems biology questions.
Our analysis integrated data from three epidemiologic studies to estimate a change in childhood IQ of −0.18 IQ points (95% CI, −0.378 to −0.009) for every part per million mercury in maternal hair.
Our meta-analysis integrated data from studies targeting a number of phenotypes related to prostate cancer development.
For example, by performing the analysis only on the datasets obtained with commonly used Affymetrix U133A microarray (GPL96 GEO platform) among those listed in Table 1, only 5 vs. 18 significantly over/under-expressed chromosomal segments, and 68 vs. 73 gene clusters were found, compared to the analysis integrating data from the whole available pool of samples.
To support this analysis, EMPRES-i integrates data and GIS resources from other FAO databases and systems, i.e. livestock density or environmental layers (e.g. the Global Livestock Production and Health Atlas, GLiPHA (20) available from Geonetwork (21) and from external systems [e.g. Bioportal (22)].
In this article, we present a modeling and simulation analysis that integrates data from preclinical experiments and a phase I clinical trial to evaluate the expected efficacy of the dose levels that were studies in phase I. Similar analyses have been presented earlier for the development of everolimus (7) and gefitinib (8).
PSD enrichments from two biological samples were combined in a statistical analysis, which integrates data from consensual and non-consensual peptide identifications in a Bayesian fashion (48).
The CoryneCenter system presented in this article integrates data and analysis features of three different types: 1.
This conceptual framework integrates data collection and analysis methods from ethnography and grounded theory, complemented with concepts and tools from industrial ecology for the analysis of quantitative data.
Here we report on a meta-analysis approach that integrates data of heterogeneous origin in the domain of type-2 diabetes mellitus (T2DM).
IPA-Core analysis integrates experimental data with its knowledge base containing a repository of molecular interactions and functional annotations extracted from selected, manually curated, literature sources and databases.
