Man pages for jysonganan/methylDeConv
Computational pipeline for deconvolution of methylation data.

betaSim_mixtureProfilesBeta Mixture Simulation
betaSim_purifiedProfilesPurified profiles sampling in Beta Mixture Simulation.
build_reference_450kBuild the reference library for 450k arrays
build_reference_450k_neuronBuild the reference library for 450k arrays of brain tissue
build_reference_EPICBuild the reference library for EPIC arrays
build_reference_EPIC_neuronBuild the reference library for EPIC arrays of brain tissue
CBSCBS algorithm
enrichment_scoreEnrichment score-based algorithm
GaussianSim_mixtureProfilesGaussian Mixture Simulation
gaussianSim_purifiedProfilesPurified profiles sampling in Gaussian Mixture Simulation.
Houseman_projectHouseman algorithm
MethylDeconv_pipelineDeconvolution Pipeline
MethylResolverMethylResolver algorithm
ref_compTableAverage reference profiles over each cell type
ref_probe_selection_HighVarFeature selection based on variability
ref_probe_selection_multiclassGlmnet_cvMulti-class elastic net modeling feature selection
ref_probe_selection_multiclassRF_cvMulti-class RF modeling feature selection
ref_probe_selection_oneVsAllLimmaOne-vs-All moderated t test feature selection
ref_probe_selection_oneVsAllttestOne-vs-All t test feature selection
ref_probe_selection_pairwiseGlmnet_cvPairwise elastic net modeling feature selection
ref_probe_selection_pairwiseLimmaPairwise moderated t test feature selection
ref_probe_selection_twoStageTwo-stage feature selection
RPCRPC algorithm
up_probes_oneVsAllttest_celltypeOne-vs-All t test feature selection (up-regulated)
jysonganan/methylDeConv documentation built on Aug. 8, 2022, 6:25 a.m.