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slfm (version 0.2.1)

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 (Duarte and Mayrink 2015 - http://link.springer.com/chapter/10.1007%2F978-3-319-12454-4_15). 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 using both type of mixtures: using a degenerate distribution or a very concentrated normal distribution for the spike part of the mixture. It also implements additional functions to help pre-process the data and fit the model for a large number of arrays.

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Install

install.packages('slfm')

Monthly Downloads

210

Version

0.2.1

License

GPL-2

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Maintainer

Joao Duarte

Last Published

August 8th, 2015

Functions in slfm (0.2.1)

slfm-package

slfm: the sparse latent factor model package for R.
slfm

Sparse Latent Factor Model
process_matrix

Pre-process data for SLFM
plot_matrix

Plot matrix
slfm_list

Fit SLFM to the matrices inside a directory