Sentence examples for data-driven inference from inspiring English sources
Feature selection algorithms enable extracting the most informative feature sets to be included in the data-driven inference engine (or classifier).
Her hope is to accelerate the delivery of the next generation of healthcare innovation by leveraging both the compassion of human experience and the objective power of data-driven inference" the Soros Fellowship statement said.
Surveys the range of levels of description useful for the mathematical description of real and virtual worlds, including analytical solutions and approximations for difference and differential equations; finite difference, finite element and cellular automata numerical models; and stochastic processes, nonlinear function fitting, constrained optimization, and data-driven inference.
In this work, we study the effect of this particular problem on the pure, data-driven inference of gene regulatory networks.
The data-driven inference of intracellular networks is one of the key challenges of computational and systems biology.
In this article we attempt to combine the strengths of literature-based and data-driven inference methods.
Unlike laypeople, however, tests make data-driven inferences: people who say X about themselves tend to do Y, or be seen as Z by others.
Furthermore, recent efforts have also been made to incorporate existing knowledge about network biology into data-driven network inference [ 19].
We exploit a data-driven adaptive neurofuzzy inference system (ANFIS) to model the running process.
The first stage of network analysis is network reconstruction, which is the data-driven discovery or inference of the entities/nodes (transcripts, proteins, genes, metabolites, or microbes) and relationships or edges between these entities that together constitute the biological network.
This makes BBSR an appropriate method for integrating potentially noisy complementary data such as ChIP-Chip, ChIP-Seq, protein protein interactions, literature-derived regulatory interactions and regulatory hypothesis derived from DNA-binding motifs into a data-driven regulatory network inference process.
