Sentence examples for multiple heterogeneous data from inspiring English sources

All the data comprise multiple heterogeneous data repositories.

More importantly, there is the lack of a general framework for ELM to integrate multiple heterogeneous data sources for classification.

The exponential increase in data, computing power and the availability of readily accessible analytical software has allowed organisations around the world to leverage the benefits of integrating multiple heterogeneous data files for enterprise-level planning and decision making.

In context-aware computing, underlying the multi-sensor fusion methodology is the idea that an abstraction of context as an amalgam of different, interrelated contextual elements can be generated or inferred on the basis of information detected from multiple, heterogeneous data sources, which provide different, yet related, sensor information.

Here, we applied the posterior probability of linkage (PPL), a method designed specifically to analyze multiple heterogeneous data sets, to the Autism Genetic Resource Exchange collection of families by analyzing six clinically defined subsets of the data and updating the PPL sequentially over the subsets.

We have chosen to use the STRING database (version 7.1) because it is built by taking into account multiple heterogeneous data sources.

CHI identification is instrumental in enabling the aggregation of patient data from multiple heterogeneous clinical data repositories and systems.

It has been proven that, by carefully selecting projection methods, a system can incorporate multiple heterogeneous genetic data and identify meaningful clusters of patients [ 30].

Though many algorithms for network inference exist (Marbach et al., 2012), relatively little attention has gone to the problem of network inference and subsequent associations with a phenotype using multiple heterogeneous expression data sources simultaneously.

The objectives of EnRICH are firstly to provide a tool for integration of multiple or heterogeneous data sets to prioritize candidate molecules that fulfill user-defined criteria, and secondly to make the integration process flexible and simple for biologists who have little programming skill.

The structure of the IW is typical of that of most DWs as it houses multiple heterogeneous forms of data, including clinical data collected and stored through EHR systems, as well as billing and administrative data, structured using a modified "snowflake" schema, [ 17- 20].