Sentence examples for reconstructing networks from inspiring English sources

Reconstructing networks of biological organism through integrating diverse sources are crucial for comprehending biological processes associated with pathema.

The S-system parameters for reconstructing networks are same as Figure 2 and 3 except the rate constant for the synthetic process of disrupted factor.

Reconstructing networks of biological system entities such as genes, transcription factors, proteins, compounds and other regulatory molecules are very important for understanding the biological processes.

ANDSystem, which has the automated capability of reconstructing networks, was developed for the purpose of scanning literature to extract relationships between diseases, pathways, cell components, proteins, genes, microRNAs and metabolites.

In the process of reconstructing networks from expression data based on a priori knowledge of network topology, the most important steps are converting familiar network maps into mathematical models and fitting the available data into the network's structural parameters.

The practical interest of this distance measure is 2-fold: it can be computed in polynomial time by means of simple algorithms, and there also exist polynomial-time algorithms for reconstructing networks of this class from DNA sequence data.

Among several methods of network analysis for reconstructing network topology from experimental datasets [16], Bayesian networks are those that offer the best results [17], [18].

This algorithm is capable of reconstructing network topologies from noisy perturbation responses of biochemical systems.

This completely automated approach correctly reconstructed networks with cycles as well as oscillating network motifs.

Classic epistasis analysis focused on ordering linear pathways; the AIs-Deletions analysis is able to reconstruct networks containing nodes with complex branching patterns.

Moreover, highly accurate prior knowledge results in more accurately reconstructed networks.