Date of Award
2017
Publisher
North Dakota State University
Document Type
Thesis
Degree Awarded
Master of Science (MS)
Program
Computer Science
Department
Computer Science
College
Engineering
Faculty Advisor
Salem, Saeed
Description
Gene co-expression networks can be used to associate genes of unknown function with biological processes or to find genes in a specific context, environment responsible for a disease. We provide an overview of methods and tools used to identify such recurrent patterns across multiple networks, can be used to discover biological modules in co-expression networks constructed from gene expression data and we explain how this can be used to identify genes with a regulatory role in disease. However, existing algorithms are very much costly in terms of time and space. As network size or number increases, mining such modules get much more complex. We have developed an efficient approach to mine such recurrent context specific modules from 35 gene networks. This computationally very difficult problem due to the exponential number of patterns was solved non-exponentially.
Recommended Citation
Hossain, Md Shakhawat, "Context Specific Module Mining from Multiple Co-Expression Graph" (2017). Computer Science. 222.
https://digitalcommons.ndsu.edu/computer-sci/222
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Author ORCID Identifier
0000-0002-1494-5510
Handle Identifier
https://hdl.handle.net/10365/28664