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PoissonSeq

A method for normalization, testing, and false discovery rate estimation for RNA-sequencing data. PoissonSeq can be applied to data with quantitative, two-class, or multiple-class outcomes, and the computation is fast even for large data sets.

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1 user review

Andrew Miller's avatar image Andrew Miller's country flag

Andrew Miller

A good method to analyze RNA-seq data based on Poisson goodness-of-fit statistic.

PoissonSeq forum

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PoissonSeq versioning

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PoissonSeq classification

PoissonSeq specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Version:
1.1.2
Requirements:
combinat, splines

PoissonSeq support

Documentation

Maintainer

  • Jun Li <>

Credits

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Publications

Institution(s)

Department of Statistics, Stanford University, Stanford, CA, USA

Funding source(s)

National Science Foundation (DMS-9971405); National Institutes of Health (N01-HV-28183, BIB R01EB1988)

Link to literature

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