slfm-package: slfm: the sparse latent factor model package for R.
In jdanielnd/slfm: Tools for Fitting Sparse Latent Factor Model
Description
Set of tools to find coherent patterns in microarray data
using a Bayesian Sparse Latent Factor Model - SLFM (Duarte and Mayrink 2015 -
http://link.springer.com/chapter/10.1007
Considerable effort has been put into making slfm fast and memory efficient,
turning it an interesting alternative to simpler methods in terms
of execution time. It implements versions of the SLFM based on two type
of mixtures priors for the loadings: one relying on a degenerate component at zero and the other using
a small variance normal distribution for the spike part of the mixture.
It also implements additional functions to allow pre-processing procedures for the data
and to fit the model for a large number of probesets or genes. Includes functions to:
Details
* pre-process a set of matrices;
* fit models to a set of matrices;
* detailed summary of model fit.
jdanielnd/slfm documentation built on June 5, 2019, 8:47 p.m.
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Description
Set of tools to find coherent patterns in microarray data using a Bayesian Sparse Latent Factor Model - SLFM (Duarte and Mayrink 2015 - http://link.springer.com/chapter/10.1007 Considerable effort has been put into making slfm fast and memory efficient, turning it an interesting alternative to simpler methods in terms of execution time. It implements versions of the SLFM based on two type of mixtures priors for the loadings: one relying on a degenerate component at zero and the other using a small variance normal distribution for the spike part of the mixture. It also implements additional functions to allow pre-processing procedures for the data and to fit the model for a large number of probesets or genes. Includes functions to:
Details
* pre-process a set of matrices; * fit models to a set of matrices; * detailed summary of model fit.
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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