Nebula-package: nebula: Network-Based Latent-Dirichlet Subtype Analysis
In changgee/Nebula: Network-Based Latent-Dirichlet Subtype Analysis
Description
Author(s)
See Also
Description
Functions implementing the Network-based latent-Dirichlet subtype analysis (nebula) algorithm for variational inference using Dirichlet mixture model with incorporation of graphical knowledge. Practically, this can be used to incorporate biological networks/pathways to inform clustering solutions.
Author(s)
Maintainer: Margaret Hannum margie.hannum@gmail.com
Authors:
Changgee Chang changgee@pennmedicine.upenn.edu
Yize Zhao yize.zhao@yale.edu
Ronglai Shen shenr@mskcc.org
See Also
Useful links:
changgee/Nebula documentation built on Dec. 13, 2020, 10:50 a.m.
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Description Author(s) See Also
Description
Functions implementing the Network-based latent-Dirichlet subtype analysis (nebula) algorithm for variational inference using Dirichlet mixture model with incorporation of graphical knowledge. Practically, this can be used to incorporate biological networks/pathways to inform clustering solutions.
Author(s)
Maintainer: Margaret Hannum margie.hannum@gmail.com
Authors:
Changgee Chang changgee@pennmedicine.upenn.edu
Yize Zhao yize.zhao@yale.edu
Ronglai Shen shenr@mskcc.org
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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