This paper presents a functional assessment using hydrological modeling with modern high-resolution LiDAR datasets and contextual archaeological site data to study prehistoric agriculture.
The integration of protein-protein interaction networks along with disease datasets and contextual information is an important tool in unraveling the molecular basis of diseases.
These results demonstrate that the integration of PPINs along with disease datasets and contextual information is an important tool in unraveling the molecular basis of diseases.
For example, where Stafford et al. [ 27] used social trust measures that were collected in an independent sample, the current study used an ecometric approach to transform individual-level variables from the same dataset into contextual variables.
Thus, it appears that different types of expression data are contributing at least some distinct information, with high spatial resolution datasets providing informative contextual information and larger datasets tracking the broad behavior of duplicate genes.
GPX-MEA also provides highly reliable datasets with associated contextual information that can be used by the computational biologist for systems level analysis.
The Ecological Metadata Language (EML) was used in order to allow for the contextual description of tabular ecological datasets, including their taxonomic, temporal, and geographic coverage, and project and methodology description (23 ).
In summary, the Confero Functional Enrichment Analysis module allows biologists to compare datasets in a contextual manner (e.g. by organism, cell/tissue type, stimulus type, experimental system, etc).
Contextual anomalies exist where the dataset includes a combination of behavioural and contextual attributes.
Biomarker Analysis allows the identification of the most relevant molecular biomarker candidates from a dataset based on contextual information such as mechanistic association with a disease or detection in bodily fluids.
