EMMIXgene
A Mixture Model-Based Approach to the Clustering of Microarray Expression Data
Provides unsupervised selection and clustering of microarray data using mixture models. Following the methods described in McLachlan, Bean and Peel (2002) doi:10.1093/bioinformatics/18.3.413 a subset of genes are selected based one the likelihood ratio statistic for the test of one versus two components when fitting mixtures of t-distributions to the expression data for each gene. The dimensionality of this gene subset is further reduced through the use of mixtures of factor analyzers, allowing the tissue samples to be clustered by fitting mixtures of normal distributions.
- Version0.1.4
- R version≥ 3.3.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- EMMIXgene citation info
- Last release01/21/2024
Documentation
Team
Andrew Thomas Jones
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 212 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,865 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 24, 2024 with 38 downloads.
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Dependencies
- Imports5 packages
- Linking To3 packages