Print Summary Statistics of Alpha Level Cutoffs
alphaSummary(object, ...) # S4 method for bcbioRNASeq alphaSummary(object, alpha = c(0.1, 0.05, 0.01, 0.001, 1e-06), caption = NULL, ...) # S4 method for DESeqDataSet alphaSummary(object, alpha = c(0.1, 0.05, 0.01, 0.001, 1e-06), caption = NULL, ...)
| object | Object. |
|---|---|
| ... | Optional. Passthrough arguments to |
| alpha | Numeric vector of desired alpha cutoffs. |
| caption | Optional. Character vector to add as caption to the table. |
kable.
bcbioRNASeq does not support contrast definitions, since the object contains an internal DESeqDataSet with an empty design formula.
Other Differential Expression Utilities: plotDispEsts,
plotMeanSD
# bcbioRNASeq alphaSummary(bcb)#> Warning: Empty DESeqDataSet design formula detected#> #> #> | |0.1 |0.05 |0.01 |0.001 |1e-06 | #> |:--------------|:----------------|:----------------|:----------------|:----------------|:----------------| #> |LFC > 0 (up) |170, 56% |166, 55% |157, 52% |152, 50% |136, 45% | #> |LFC < 0 (down) |0, 0% |0, 0% |0, 0% |0, 0% |0, 0% | #> |outliers |1, 0.33% |1, 0.33% |1, 0.33% |1, 0.33% |1, 0.33% | #> |low counts |67, 22% |57, 19% |0, 0% |74, 24% |0, 0% | #> |cutoff |(mean count < 1) |(mean count < 0) |(mean count < 0) |(mean count < 1) |(mean count < 0) |# DESeqDataSet alphaSummary(dds)#> #> #> | |0.1 |0.05 |0.01 |0.001 |1e-06 | #> |:--------------|:----------------|:----------------|:----------------|:----------------|:----------------| #> |LFC > 0 (up) |2, 0.66% |0, 0% |0, 0% |0, 0% |0, 0% | #> |LFC < 0 (down) |2, 0.66% |0, 0% |0, 0% |0, 0% |0, 0% | #> |outliers |0, 0% |0, 0% |0, 0% |0, 0% |0, 0% | #> |low counts |0, 0% |0, 0% |0, 0% |0, 0% |0, 0% | #> |cutoff |(mean count < 0) |(mean count < 0) |(mean count < 0) |(mean count < 0) |(mean count < 0) |# NOT RUN { alphaSummary(dds, contrast = c("group", "ko", "ctrl")) alphaSummary(dds, name = "group_ko_vs_ctrl") # }