View source: R/AntibodyForests_label_propagation.R
AntibodyForests_label_propagation | R Documentation |
Performs label diffusion/propagation, using two different algorithms: if propagation.algorithm = 'diffusion', will perform label propagation using the graph heat diffusion method (http://mlg.eng.cam.ac.uk/zoubin/papers/CMU-CALD-02-107.pdf), 'neighbours' for neihbour majority voting propagation (https://arxiv.org/abs/0709.2938).
AntibodyForests_label_propagation( trees, features, propagation.algorithm, diffusion.n.iter, diffusion.threshold, parallel )
trees |
nested list of AntibodyForests objects or single object, as obtained from the AntibodyForests function. |
features |
vector of strings - features to be propagated in the graph. Must be performed on sparsely-labeled graphs (with NA node attribute values). |
propagation.algorithm |
string - label propagation/diffusion algorithm to be used. If propagation.algorithm = 'diffusion', will perform label propagation using the graph heat diffusion method (http://mlg.eng.cam.ac.uk/zoubin/papers/CMU-CALD-02-107.pdf), 'neighbours' for neihbour majority voting propagation (https://arxiv.org/abs/0709.2938). |
diffusion.n.iter |
integer - number of diffusion iteration if propagation.algorithm = 'diffusion'. |
diffusion.threshold |
numeric - probability min. threshold for the diffusion algorithm. |
parallel |
boolean - whether to execute the main subroutine in parallel or not. Requires the 'parallel' R package to be installed. |
Nested list of AntibodyForests objects or single object with new propagated labels added as vertex attributes (e.g., feature_label_propagation will be a new vertex attribute in the resulting AntibodyForests objects).
## Not run: AntibodyForests_label_propagation(ova_trees, features = 'OVA_binder', propagation.algorithm = 'diffusion', parallel = T) ## End(Not run)
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