characterize_dataset: Generate simulated differential expression for two conditions
In kimberlyroche/codaDE: What the Package Does in One 'Title Case' Line
View source: R/fit_pred_models.R
characterize_dataset R Documentation
Generate simulated differential expression for two conditions
Description
Generate simulated differential expression for two conditions
Usage
characterize_dataset(counts_A, counts_B)
Arguments
counts_A
counts associated with the baseline/control condition
(arranged n x p)
counts_B
counts associated with the second condition
(arranged n x p)
kimberlyroche/codaDE documentation built on May 11, 2022, 12:40 a.m.
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View source: R/fit_pred_models.R
| characterize_dataset | R Documentation |
Generate simulated differential expression for two conditions
Description
Generate simulated differential expression for two conditions
Usage
characterize_dataset(counts_A, counts_B)
Arguments
counts_A |
counts associated with the baseline/control condition (arranged n x p) |
counts_B |
counts associated with the second condition (arranged n x p) |
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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