jdanielnd/slfm: Tools for Fitting Sparse Latent Factor Model
Version 0.2.1

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.

Getting started

Package details

AuthorJoao Duarte and Vinicius Mayrink
MaintainerJoao Duarte <[email protected]>
LicenseGPL-2
Version0.2.1
URL https://github.com/jdanielnd/slfm
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jdanielnd/slfm")
jdanielnd/slfm documentation built on May 17, 2017, 2:10 p.m.