Man pages for biospi/bayesprot
Bayesian Protein-level Quantification for Proteomics

bayesprotFit the BayesProt Bayesian Protein-level quantification model
bayesprot_fitInterrogating the 'bayesprot' fit object
dea_limmaUnivariate differential expression analysis with...
dea_MCMCglmmMixed-effects univariate differential expression analysis...
dea_metaforMixed-effects univariate differential expression analysis...
dist_invchisqfit scaled inverse chi squared distribution with fitdistrplus
dist_invchisq_mcmcfit scaled inverse chi squared distribution
dist_lstfit location-scale t distribution with fitdistrplus
dist_lst_mcmcfit location-scale t distribution
dist_normalfit normal distribution with fitdistrplus
dist_normal_mcmcfit normal distribution with fitdistrplus
dist_sf_with_fixed_df1_fitdistrplusfit scaled F distribution with per-datapoint fixed df1 with...
execute_modelexecute_model (internal)
fdr_ashFalse Discovery Rate correction with ash
fdr_BHFalse Discovery Rate correction with the Benjamini-Hochberg...
import_MSstatsImport data outputed by an MSstats import routine
import_OpenSwath_PyProphetImport OpenSWATH - PyProphet data
import_ProgenesisImport Waters Progenesis data
import_ProteinPilotImport SCIEX ProteinPilot data
import_ProteomeDiscovererImport Thermo ProteomeDiscoverer data
new_controlControl parameters for the BayesProt Bayesian model
new_designSpecify study design for imported dataset
norm_medianMedian normalisation
plot_exposuresAdd together two numbers.
plot_fdrAdd together two numbers.
plot_fitsAdd together two numbers.
plot_pcaAdd together two numbers.
process_modelprocess_model (internal)
process_model0process_model0 (internal)
process_plotsprocess_plots (internal)
rhatrhat
runsImported dataset run information
squeeze_varOur squeezeVar function - works for small DF unlike Limma...
squeeze_var_limmaLimma squeezeVar function
summarise_normal_robustsummarise using median/mad
summarise_normal_robust_mcmcfit normal distribution with fitdistrplus
biospi/bayesprot documentation built on Nov. 9, 2019, 2:40 p.m.