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Utilities

Partial Residuals

Functions for selectively removing the systematic effect of variables included in a predictive model, to allow patterns that might otherwise be obscured to become apparent.

assemble_partialised()
Reconstruct a matrix from (some of) the parts of a partialised object
dropped_terms()
dropped_terms: Compare terms in full and reduced models
partialise()
partialise: calculate partial components

Dataset/Model/Comparison helpers

Functions that help with handling either the three-layered list corresponding to ‘spec’ descriptions of comparisons, or a simple list of DESeqDataSet objects

compress_dmc()
Generate captioned table
dmc2df()
Convert DMC to dataframe
dmc_heading()
Produce quarto headings corresponding to the data/model hierarchy

Everything Else

Things yet to be categorised

ParamList
R6 class representing the set of parameters used in an analysis
build_dds_list()
Generate subsets of DESeq2 object
check_model()
Check model
compress_dmc()
Generate captioned table
dataset_name()
Wrap dataset-model-comparison object
df2colorspace()
Heatmap colour-scheme generator
dmc2df()
Convert DMC to dataframe
dmc_heading()
Produce quarto headings corresponding to the data/model hierarchy
emcontrasts()
Expand multiple comparisons into their contrasts
export_biologic()
Export Biologic files
fitLRT()
Fit LRT
fit_models()
Fit the DESeq2 models
functional_api()
Orchestrate functional analyses
get_result()
Generate the results for a model and comparison
mult_comp()
Mark a formula as a multiple comparison
plot_tracker()
Generate captioned plot
rbind_summary()
rbind nested lists of data-frames
rebase()
Rebase a factor's level
recode_within()
Recode nested factors
results_apply()
Apply a function to a results list
summarise_results()
Tabulate the size of the differential lists
write_all_results()
Store results as text files
write_assay()
Text file of assay data
write_results()
XLSX report of results

About the package

BABS.RNASeq BABS.RNASeq-package
BABS.RNASeq: BABS RNASeq pipeline