Name
Title | ||
|---|---|---|
A Multiscale Graph Theoretical Approach to Gene Regulation Networks: A Case Study in Atrial Fibrillation |
Abstract | ||
|---|---|---|
The changes in between gene expression correlation structure induced in heart tissue by atrial fibrillation are studied by means of a graph theoretical approach. As expected by general statistical mechanics principles, the disease increases the general connectivity of the gene regulation network; the multiscale character of the analysis allows us to get both a general appreciation of regulation network connectivity and the sketching of a biological interpretation of the studied disease. The presence of a still largely unknown, scale invariant, global correlation field encompassing the entire genome is demonstrated as well. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TBME.2011.2150747 | Biomedical Engineering, IEEE Transactions |
Keywords | Field | DocType |
cardiology,complex networks,diseases,genomics,graph theory,atrial fibrillation,disease,gene expression correlation structure,gene regulation networks,heart tissue,multiscale graph theoretical approach,network connectivity,Bioinformatics,computational systems biology,data mining,fibrillation | Scale invariance,Computer science,Theoretical computer science,Genomics,Complex network,Artificial intelligence,Graph theory,Computer vision,Statistical mechanics,Regulation of gene expression,Bioinformatics,Gene regulatory network,Gene expression profiling | Journal |
Volume | Issue | ISSN |
58 | 10 | 0018-9294 |
Citations | PageRank | References |
3 | 0.83 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Federica Censi | 1 | 24 | 9.44 |
| Alessandro Giuliani | 2 | 170 | 25.21 |
| Pietro Bartolini | 3 | 6 | 4.24 |
| Giovanni Calcagnini | 4 | 19 | 8.05 |