Integrative Gene Regulatory Network Inference Using Multi-omics Data
Master of Science (MS)
Date of Award
Biological network inference is of importance inunderstanding the underlying biological mechanisms. Gene regulatory network describes molecular interactions of complex biological processes by using a graph model, where nodes and edges represent genes and their regulations respectively. In most research studies, the molecular interactions (edges) of the gene regulatory networks are inferred from a single type of genomic data, for example, gene expression data.
Sang C. Suh
Computer Sciences | Data Science | Physical Sciences and Mathematics
Zarayeneh, Neda, "Integrative Gene Regulatory Network Inference Using Multi-omics Data" (2017). Electronic Theses & Dissertations. 845.