Gene regulation network inference using k-nearest neighbor-based mutual information estimation: revisiting an old DREAM.

ABSTRACT:

Background

A cell exhibits a variety of responses to internal and external cues. These responses are possible, in part, due to the presence of an elaborate gene regulatory network (GRN) in every single cell. In the past 20 years, many groups worked on reconstructing the topological structure of GRNs from large-scale gene expression data using a variety of inference algorithms. Insights gained about participating players in GRNs may ultimately lead to therapeutic benefits. Mutual information (MI) is a widely used metric within this inference/reconstruction pipeline as it can detect any correlation (linear and non-linear) between any number of variables (n-dimensions). However, the use of MI with continuous data (for example, normalized fluorescence intensity measurement of gene expr

SUBMITTER: Shachaf LI 

PROVIDER: S-EPMC9990267 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature