Name
Title | ||
|---|---|---|
TNet: Phylogeny-Based Inference of Disease Transmission Networks Using Within-Host Strain Diversity |
Abstract | ||
|---|---|---|
The inference of disease transmission networks from genetic sequence data is an important problem in epidemiology. One popular approach for building transmission networks is to reconstruct a phylogenetic tree using sequences from disease strains sampled from (a subset of) infected hosts and infer transmissions based on this tree. However, most existing phylogenetic approaches for transmission network inference cannot take within-host strain diversity into account, which affects their accuracy, and, moreover, are highly computationally intensive and unscalable. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/978-3-030-57821-3_18 | ISBRA |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saurav Dhar | 1 | 1 | 0.35 |
| Chengchen Zhang | 2 | 1 | 0.69 |
| I. I. Mandoiu | 3 | 97 | 8.35 |
| Mukul S. Bansal | 4 | 294 | 23.97 |