simData: Simulated data for testing the baySeq package methods
In baySeq: Empirical Bayesian analysis of patterns of differential expression in count data
Description
Usage
Format
Source
References
Description
This data set is a matrix (‘simData’) of simulated counts
from a simple pairwise expression analysis. It is simulated according
to a negative binomial distribution with varying parameters for each
row. The first hundred rows of the data are truly differentially
expressed, the remainder have no differential expression.
Usage
1
Format
A matrix of which each of the ten columns represents a sample,
and each row some discrete data (acquired by sequencing).
Source
Simulation.
References
Hardcastle T.J., and Kelly, K. baySeq: Empirical Bayesian
Methods For Identifying Differential Expression In Sequence Count Data. BMC Bioinformatics (2010)
baySeq documentation built on Nov. 8, 2020, 5:43 p.m.
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Description Usage Format Source References
Description
This data set is a matrix (‘simData’) of simulated counts from a simple pairwise expression analysis. It is simulated according to a negative binomial distribution with varying parameters for each row. The first hundred rows of the data are truly differentially expressed, the remainder have no differential expression.
Usage
1 |
Format
A matrix of which each of the ten columns represents a sample, and each row some discrete data (acquired by sequencing).
Source
Simulation.
References
Hardcastle T.J., and Kelly, K. baySeq: Empirical Bayesian Methods For Identifying Differential Expression In Sequence Count Data. BMC Bioinformatics (2010)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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