Methods for using diffusion maps to learn the manifold structure and imputing contaminated samples. Dynamic networks are inferred using the pseudo-time ordering given by the first dimension of the diffusion maps. Kernel-based and penalization methods are available for estimating networks at various time points.
|Author||Tyler Grimes [aut, cre], Somnath Datta [aut]|
|Maintainer||Tyler Grimes <[email protected]>|
|License||GPL-2 | GPL-3|
|Package repository||View on GitHub|
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