simdat: simulated data
In buriom/denoiSeq: Differential Expression Analysis Using a Bottom-Up Model
Description
A dataset containing simulated data based on parameter values N = 1,2,...,50
, p = 0.0017 and f =0.1,0.2,...,0.5. The values of N were repeated 15 times
to generate 750 genes. This dataset contains 750 observational genes
with 5 experimental samples for each condition, summarised as a 750 by 10
integer matrix. The first 428 genes are not differentially expressed
between the two conditions whereas the last 322 genes are. The gene counts
were generated in accordance to the probability distribution derived in
Ndifon et al.
Usage
1
Format
A matrix with 750 rows and 10 columns:
- Conditions
There are 5 columns for each of the conditions A and B.
- Transcripts
There are 750 distinct genes without names.
buriom/denoiSeq documentation built on May 13, 2019, 8:47 a.m.
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Description
A dataset containing simulated data based on parameter values N = 1,2,...,50 , p = 0.0017 and f =0.1,0.2,...,0.5. The values of N were repeated 15 times to generate 750 genes. This dataset contains 750 observational genes with 5 experimental samples for each condition, summarised as a 750 by 10 integer matrix. The first 428 genes are not differentially expressed between the two conditions whereas the last 322 genes are. The gene counts were generated in accordance to the probability distribution derived in Ndifon et al.
Usage
1 |
Format
A matrix with 750 rows and 10 columns:
- Conditions
There are 5 columns for each of the conditions A and B.
- Transcripts
There are 750 distinct genes without names.
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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