Metadata-Version: 1.1
Name: DGEclust
Version: 15.6.7
Summary: Hierarchical non-parametric Bayesian clustering of digital expression data
Home-page: http://dvav.me/dgeclust/
Author: Dimitrios V. Vavoulis
Author-email: dimitris.vavoulis@ndcls.ox.ac.uk
License: MIT
Description: **DGEclust** is a program for clustering and differential expression analysis of digital expression data
        generated by next-generation sequencing assays, such as RNA-seq, CAGE and others. It takes as input a table
        of count data and it estimates the number and parameters of the clusters supported by the data. At a later stage,
        these can be used for identifying differentially expressed genes and for gene- and sample-wise clustering of the
        original data matrix. Internally, **DGEclust** uses a *Hierarchical Dirichlet Process Mixture Model* for modeling
        over-dispersed count data, combined with a *blocked Gibbs sampler* for efficient Bayesian learning.
        
        This program is part of the software collection of the [Computational Genomics Group](http://bioinformatics.bris.ac.uk/)
        at the University of Bristol and it is under continuous development. You can find more technical details on the
        statistical methodologies used in this software in the following papers:
        
        1. http://www.genomebiology.com/2015/16/1/39 (Vavoulis et al., *Genome Biology* 16:39,  **2014**)
        2. http://arxiv.org/abs/1301.4144 (Vavoulis & Gough, *J Comput Sci Syst Biol* 7:001-009, **2013**)
        
        For more information, including bug reports, send an email to <Dimitris.Vavoulis@ndcls.ox.ac.uk> or <Julian.Gough@bristol.ac.uk>
        
        Enjoy!
        
Platform: UNIX
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Operating System :: Unix
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
