Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Neighborhood alignment is performed by adding piece-wise smooth regularization constraints to an energy function.
Similar(59)
We suggest a novel approach for stabilizing the fitting problem of the multiple-tensors model by a variational framework that adds biologically oriented assumption of neighborhood alignments.
Our neighborhood subnetwork alignment algorithm [ 55] could potentially circumvent this limitation by searching for the similarities between functional modules.
In this paper, we employ a novel neighborhood subnetwork alignment approach to identify network components that are potentially involved in pathogenesis.
Using a neighborhood subnetwork alignment algorithm, we identified network components associated with 24 potential pathogenesis-related proteins that may be involved in malaria pathogenesis.
Using a neighborhood subnetwork alignment algorithm, we predicted that 24 novel proteins in P. falciparum were functional orthologs of proteins known to be involved in pathogenesis in E. coli (Additional File 2).
Alignments of the sixth type 3 repeat or the C-terminal region (i.e. the type 3 repeats and L-lectin domain) were prepared by the progressive, neighborhood-joining alignment method, CLUSTALW [ 81].
To evaluate how well a P. falciparum neighborhood subnetwork aligned with an E. coli neighborhood subnetwork, we assigned a score for each possible alignment and summarized the alignment scores with a graph kernel.
Another approach employs a probabilistic analysis of the functional neighborhood defined by sequence alignment bit-scores [60].
Current GNA methods generally use a seemingly arbitrary amount of sequence information in their NCF, and also, they assume that the larger the size of a node's neighborhood, the better the alignment quality.
For these, we obtained the spatial predictor data layer and manipulated the map as necessary (using mean/mode aggregation and/or nearest neighborhood resampling) to ensure cell alignment among maps.
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