Author ORCID Identifier
https://orcid.org/0000-0001-8729-9006
Date of Award
5-4-2022
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Dr. Murray Patterson
Second Advisor
Dr. Alex Zelikovsky
Third Advisor
Dr. Pavel Skums
Abstract
The biochemical mechanism driving cancer metastasis and primary cancer invasion of new sites are still unclear as the process can be complex. The mutations in somatic cells often include mutation drivers and some passenger mutations. In this study, we have analyzed RNA-Seq datasets from primary breast cancer and metastatic lung cancer for differentially expressed gene lists to gain insight into transcriptomic profiles of the two conditions. The gene lists are analyzed for pathway and functional enrichment annotations. It is interesting to note that the top enriched pathways are major ones involving some connected cancer-related signaling processes. The enriched gene sets from this analysis includes ones connected to cancer proliferation, progression, and metastatic invasions. The pathways and genes show some overlapping networks and connections that may be key to finding potential mutation driver genes.
DOI
https://doi.org/10.57709/28959410
Recommended Citation
Bello, Babatunde, "Functional Enrichment Analysis of Transcriptomics Data of Breast Cancer RNA-seq." Thesis, Georgia State University, 2022.
doi: https://doi.org/10.57709/28959410
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