| analyzeComparative | Run a comparative analysis between conditions |
| analyzeQuantification | Perform quantitative analysis on the MPRA data. This analysis aims to determine which sequences have a regulatory function, when no condition is being tested. |
| ce.colAnnot | Sample MPRA data |
| ce.control | Sample MPRA data |
| ce.dnaCounts | Sample MPRA data |
| ce.rnaCounts | Sample MPRA data |
| ChrEpi | Sample MPRA data |
| controls | MpraObject |
| controls-method | MpraObject |
| dnaAnnot | MpraObject |
| dnaAnnot-method | MpraObject |
| dnaCounts | MpraObject |
| dnaCounts-method | MpraObject |
| dnaDepth | MpraObject |
| dnaDepth-method | MpraObject |
| estimateDepthFactors | estimate library size correction factors |
| extractModelParameters_DNA | extract the DNA model parameters |
| extractModelParameters_RNA | extract the DNA model parameters |
| getAlpha | return the fitted value for the transcription rate. |
| getDistrParam_DNA | Get model distribution parameters from an MpraObject of a given candidate enhancer |
| getDistrParam_RNA | Get model distribution parameters from an MpraObject of a given candidate enhancer |
| getFits_DNA | Get DNA model-based estimates from an MpraObject (the expected values based on the model). These can be compared with the observed counts to assess goodness of fit. |
| getFits_RNA | Get RNA model-based estimates from an MpraObject (the expected values based on the model). These can be compared with the observed counts to assess goodness of fit. |
| getModelParameters_DNA | extract the DNA model parameters |
| getModelParameters_RNA | extract the DNA model parameters |
| model | MpraObject |
| model-method | MpraObject |
| MpraObject | MpraObject |
| MpraObject-method | MpraObject |
| rnaAnnot | MpraObject |
| rnaAnnot-method | MpraObject |
| rnaCounts | MpraObject |
| rnaCounts-method | MpraObject |
| rnaDepth | MpraObject |
| rnaDepth-method | MpraObject |
| rowAnnot | MpraObject |
| rowAnnot-method | MpraObject |
| setDepthFactors | Manually set library depth correction factors |
| setModel | Set the distributional model used. Default is gamma.pois, and is recommended. Other supoprted models are ln.nb in which the DNA follows a log-normal distribution and the RNA follows a negative binomial, and ln.ln in which both follow log-normal distributions. To use alternative distributional models, use this function before fitting the model. |
| simulateMPRA | Simulate an MPRA dataset |
| testCoefficient | Calculate the significance of a factor in the regression model |
| testEmpirical | test for significant activity (quantitative analysis) using various empirical tests (see details) |
| testLrt | Calculate likelihood ratio test for the specific nested model |