Name
Title | ||
|---|---|---|
Intrinsic-overlapping co-expression module detection with application to Alzheimer's Disease. |
Abstract | ||
|---|---|---|
•A new association measure is proposed to create weighted gene co-expression network.•The new association measure is compared to other existing correlation measures and gene network inference methods.•A new density-based algorithm called CluViaN is proposed that can detect intrinsic as well as overlapping modules from gene co-expression network.•CluViaN is compared with other existing network module detection techniques by evaluating in terms of gene ontology, p-values and topological statistics.•Alzheimer's disease (AD) datasets are studied and module extraction is performed using CluViaN.•Ranking of modules responsible for Alzheimer's disease as well as identifying central hub genes that play a significant role in Alzheimer's disease is performed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compbiolchem.2018.10.014 | Computational Biology and Chemistry |
Keywords | DocType | Volume |
Functional Module,Clustering,Overlapping,Intrinsic,Co-expression,Alzheimer's Disease (AD) | Journal | 77 |
ISSN | Citations | PageRank |
1476-9271 | 0 | 0.34 |
References | Authors | |
20 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hazel N. Manners | 1 | 0 | 0.34 |
| Swarup Roy | 2 | 56 | 12.13 |
| Jugal K. Kalita | 3 | 856 | 62.32 |