Title

Integrative Gene Regulatory Network Inference Using Multi-omics Data

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

Date of Award

Spring 2017

Abstract

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.

Advisor

Sang C. Suh

Subject Categories

Computer Sciences | Data Science | Physical Sciences and Mathematics

Share

COinS