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MBCluster.Seq | Model-based clustering for RNA-seq data

Cluster genes based on Poisson or Negative-Binomial model for RNA-Seq or other digital gene expression (DGE) data. Results from both simulation studies and analysis of a maize RNA-seq dataset show that MBCluster.Seq provides better clustering results than alternative methods such as the K-means algorithm and hierarchical clustering methods that are not based on probability models.

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MBCluster.Seq forum

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MBCluster.Seq classification

MBCluster.Seq specifications

Unique identifier:
OMICS_01417
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Version:
1.0
Maintained:
Yes
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable

MBCluster.Seq distribution

versioning

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No versioning.

MBCluster.Seq support

Documentation

Maintainer

  • Yaqing Si <>

Credits

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Publications

Institution(s)

School of Statistics, Southwestern University of Finance and Economics, Chengdu, Sichuan, China; Department of Statistics, Iowa State University, Ames, IA, USA; Institute of Tropical Biosciences and Biotechnology (ITBB), Chinese Academy of Tropical Agriculture Sciences (CATAS), Haikou, Hainan, China; Enterprise Institute for Renewable Fuels, Donald Danforth Plant Science Center, St. Louis, MO, USA

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