Original paper

Network Clustering Analysis Using Mixture Exponential-Family Random Graph Models and Its Application in Genetic Interaction Data

Volume: 16, Issue: 5, Pages: 1743 - 1752
Published: Sep 1, 2019
Abstract
Motivation: Epistatic miniarrary profile (EMAP) studies have enabled the mapping of large-scale genetic interaction networks and generated large amounts of data in model organisms. It provides an incredible set of molecular tools and advanced technologies that should be efficiently understanding the relationship between the genotypes and phenotypes of individuals. However, the network information gained from EMAP cannot be fully exploited using...
Paper Details
Title
Network Clustering Analysis Using Mixture Exponential-Family Random Graph Models and Its Application in Genetic Interaction Data
Published Date
Sep 1, 2019
Volume
16
Issue
5
Pages
1743 - 1752
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