Suggestions(1)
Exact(38)
The transmission event dataset was also evaluated using a previously published method [9], [10], specifically tuned for HIV transmission cluster identification, and that method identified 25% of transmission events.
As an additional comparison, we used also the method proposed in [9], [10], which can be considered the state-of-the-art with respect to HIV-1 transmission cluster identification.
It was also evaluated in the problem of HIV-1 intra-patient quasispecies clustering, and for transmission cluster identification, using a set of sequences from patients with known transmission event histories.
The transmission cluster map captured several important features of global influenza transmission, and we believe it is a new and useful way to understand the behavior of complex epidemic models.
SDRMs = surveillance for drug resistance mutations, n = number of patients in a transmission cluster.
The definition of a transmission cluster is still a topic of discussion and no consensus has been reached.
Similar(22)
Phylogenetic transmission (infection) clusters [29] were defined as those clades with bootstrap proportions ≥70% and posterior probabilities ≥0.95.
Geographic, temporal, and epidemiological metadata support the transmission clustering inferred from genetic data (Fig. 4, D and E, and fig. S11) (6).
High transmission clustering increases the first, while reducing the second.
Transmission clusters in Nguyen et al. [40] were inferred using the C2-V4 env region (345 bp).
The clustering algorithm could be modified in several ways that might improve the identification of transmission clusters.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com