dds_all_K_11: "DESeqDataSet" object for the differential topic analysis on...
In PratheepaJ/diffTop: Differential topic analysis using latent Dirichlet allocation
Description
Usage
Format
Source
Examples
Description
A By applying DEseq2::results() on 'DESeqDataSet', we get a data frame with topics on rows and test results on the columns (baseMean, log2FoldChange, lfcSE, stat, pvalue, padj)
Usage
1
Format
An object of class 'DESeqDataSet'.
- baseMean
mean of the topic abundance
- log2FoldChange
log fold change of topic abundance in experimental condions tested.
- lfcSE
Standard error of log fold change.
- stat
Test statistic value under the null hypothesis.
- pvalue
P-value for the test.
- padj
Adjusted P-value.
Source
Data is from Fitzpatrick et al. (2018)
Examples
1
2
3
4
## Not run:
results(dds_all_K_11)
## End(Not run)
PratheepaJ/diffTop documentation built on Dec. 18, 2021, 7:48 a.m.
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Description Usage Format Source Examples
Description
A By applying DEseq2::results() on 'DESeqDataSet', we get a data frame with topics on rows and test results on the columns (baseMean, log2FoldChange, lfcSE, stat, pvalue, padj)
Usage
1 |
Format
An object of class 'DESeqDataSet'.
- baseMean
mean of the topic abundance
- log2FoldChange
log fold change of topic abundance in experimental condions tested.
- lfcSE
Standard error of log fold change.
- stat
Test statistic value under the null hypothesis.
- pvalue
P-value for the test.
- padj
Adjusted P-value.
Source
Data is from Fitzpatrick et al. (2018)
Examples
1 2 3 4 | ## Not run:
results(dds_all_K_11)
## End(Not run)
|
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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