dc.contributor.author |
Bhadra, Nandini |
|
dc.contributor.author |
Tasmiah, Nuha |
|
dc.date.accessioned |
2019-10-16T11:21:32Z |
|
dc.date.available |
2019-10-16T11:21:32Z |
|
dc.date.issued |
2019-05-24 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/3506 |
|
dc.description.abstract |
Background: Bioinformatics handles living organism records and inspects the
information using computer science facilities. As a result of improving bioinformatics
tools and resources, it is now possible to design the protein-protein interaction (PPI)
network from disease-associated common genes. PPI networks are varied based on the
interaction scores, p-values and coefficiency. Thus, this paper discovers genetic
association among colorectal cancer (CRC) characteristics and identifies the statistically
highest key common genes of CRC characteristics based on the PPI networks. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Daffodil International University |
en_US |
dc.subject |
Colorectal Cancer |
en_US |
dc.subject |
Common gene Identification |
en_US |
dc.subject |
Data mining |
en_US |
dc.title |
Key Common Genes of Colorectal Cancer Characteristics Based on Protein-Protein Interactions |
en_US |
dc.title.alternative |
A Bioinformatics Approach |
en_US |
dc.type |
Thesis |
en_US |