| 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 |