Sentence examples for the holistic data from inspiring English sources
Quite different from global data characteristics that referring to the holistic data behaviors interpreting long-time interval data changes, subtle data characteristics have to be represented by the first or even high-level derivative of data mathematically [ 8, 10].
In contrast to the more holistic data representations returned by PCA and VQ methods, the NMF algorithm provides a local, parts-based representation of the data.
This result indicates that there are no relationships between the genomic and metabolic diversity of solution metabolites of rice grain in the comparison of holistic data.
Data processing from each source consisted of five steps: (i) the acquisition of a holistic data set, (ii) mapping of the data to the gene designations in SubtiWiki, (iii) re-formatting the information to wiki markup language, (iv) batch upload of the information and (v) manual curation of the uploaded information.
Lack of standards, unstructured data formats and aggregation of data (elements and cases) inhibit the semantic content processing, search and holistic data understanding.
Semantic annotation of the PubChem Compound and Substance data systems works towards a machine-understandable knowledge representation, and helps pave the way to more automated and holistic data integration of scientific information.
In addition, NetWalk and FunWalk are only pilot methods for the use of biased random walk models in network-based holistic data analyses, and we are currently working on a suite of novel algorithms to be incorporated into NetWalker to enable whole system-based analyses and automated mechanistic model building.
Solid and holistic data of culture and heritage is vital in order to understand its community and to develop a more meaningful place for the present and future generation.
The emergence of e-Science, Semantic Web, and Science 2.0 approaches hold a lot of promise for holistic data integration and meaningful interpretation of community genomics and microarray experiments in an interactive and collaborative fashion.
Despite current limitations, ePGDBs provide an interactive and holistic data structure in which to investigate distributed metabolism and differentiate between microbial community metabolic potential and phenotypic expression.
