Sentence examples for module network inference from inspiring English sources

In this study, we analyze and assess experimentally a module network inferred from both miRNA and mRNA expression data, using our recently developed module network inference algorithm based on probabilistic optimization techniques.

Those results corroborate module network inference as a robust and useful approach to gain more precise insights into miRNA function.

During the last decade, much progress has been made in the development of robust and powerful module network inference algorithms.

We have applied a robust and unbiased module network inference algorithm to a cancer-related expression data set of both mRNAs and miRNAs.

LeMoNe introduces an ensemble averaging strategy to generate more coherent modules from multiple runs of the module network inference process.

To proceed with the module network inference process, we first imputed the missing values in the data by using the Bayesian principal component analysis (BPCA) method [ 18].

The reverse engineering algorithm is applied to the four modules for network inference.

We used 100 random datasets of each module to perform network inference but none of the regulatory relationships were present in all modules.

TRH designed the study, carried out module discovery and network inference, and drafted the manuscript.

The proposed method includes two parts: module selection and network inference.

Each cluster center represents the expression profile for its own module, which is subject to the network inference among modules.