A B C D E F G I M N O P Q R S T V misc
sesame-package | Analyze DNA methylation data |
addMask | Add probes to mask |
as.data.frame.sesameQC | Coerce a sesameQC into a dataframe |
attachManifest | Annotate a data.frame using manifest |
BetaValueToMValue | Convert beta-value to M-value |
binSignals | Bin signals from probe signals |
bisConversionControl | Compute internal bisulfite conversion control |
bSubComplete | subset beta value matrix by complete probes |
bSubMostVariable | Get most variable probes |
bSubProbes | subset beta value matrix by probes |
calcDatabaseSetStatistics1 | calcDatabaseSetStatistics1 calculates features of x |
calcDatabaseSetStatisticsAll | calcDatabaseSetStatisticsAll builds dataset for a given betas matrix composed of engineered features from the given database sets |
checkLevels | filter data matrix by factor completeness only works for discrete factors |
chipAddressToSignal | Lookup address in one sample |
cnSegmentation | Perform copy number segmentation |
compareDatbaseSetOverlap | compareDatbaseSetOverlap calculates the pariwise overlap between given list of database sets using a distance metric. |
compareMouseStrainReference | Compare Strain SNPs with a reference panel |
compareMouseTissueReference | Compare mouse array data with mouse tissue references |
controls | get the controls attributes |
createDatabaseSetNetwork | createGeneNetwork creates databaseSet network using the Jaccard index. |
createUCSCtrack | Turn beta values into a UCSC browser track |
deIdentify | De-identify IDATs by removing SNP probes |
detectionPnegEcdf | Detection P-value based on ECDF of negative control |
detectionPoobEcdf | Detection P-value based on ECDF of out-of-band signal |
detectionPoobEcdf2 | Detection P-value based on ECDF of out-of-band signal |
diffRefSet | Restrict refset to differentially methylated probes use with care, might introduce bias |
dmContrasts | List all contrasts of a DMLSummary |
DML | Test differential methylation on each locus |
DMR | Find Differentially Methylated Region (DMR) |
dyeBiasCorr | Correct dye bias in by linear scaling. |
dyeBiasCorrMostBalanced | Correct dye bias using most balanced sample as the reference |
dyeBiasCorrTypeINorm | Dye bias correction by matching green and red to mid point |
dyeBiasDistortion | Quantify how much dye bias in high signal range deviates from the global median |
dyeBiasNL | Dye bias correction by matching green and red to mid point |
estimateCellComposition | Estimate cell composition using reference |
estimateLeukocyte | Estimate leukocyte fraction using a two-component model |
extractDesign | Extract the first design category |
formatVCF | Convert SNP from Infinium array to VCF file |
getAFTypeIbySumAlleles | Get allele frequency treating type I by summing alleles |
getAutosomeProbes | Get autosome probes |
getBetas | Get beta Values |
getBinCoordinates | Get bin coordinates |
getDatabaseSetOverlap | getDatabaseSetOverlap tests for the overlap of set of probes (querySet) in a single given feature (database set) |
getNormCtls | get normalization control signal |
getProbesByChromosome | Get Probes by Chromosome |
getProbesByGene | Get Probes by Gene |
getProbesByRegion | Get probes by genomic region |
getProbesByTSS | Get Probes by Gene Transcription Start Site (TSS) |
getRefSet | Retrieve reference set |
getSexInfo | Get sex-related information |
inferEthnicity | Infer Ethnicity |
inferInfiniumIChannel | Infer and reset color channel for Type-I probes instead of using what is specified in manifest. The results are stored to sdf@extra$IGG and sdf@extra$IRR slot. |
inferSex | Infer Sex |
inferSexKaryotypes | Infer Sex Karyotype |
inferSpecies | Infer Species |
inferStrain | Infer strain information for mouse array |
inferTissue | inferTissue1 infers the tissue of a single sample (as identified through the branchIDs in the row data of the reference) by reporting independent composition through cell type deconvolution. |
initFileSet | initialize a fileSet class by allocating appropriate storage |
isUniqProbeID | Whether the probe ID is the uniq probe ID like in the mouse array, e.g., cg36609548 |
mapFileSet | Deposit data of one sample to a fileSet (and hence to file) |
meanIntensity | Whole-dataset-wide Mean Intensity |
medianTotalIntensity | Whole-dataset-wide Median Total Intensity (M+U) |
MValueToBetaValue | Convert M-value to beta-value |
neob | Negative control plus out-of-band background correction |
noMasked | remove masked probes from SigDF |
noob | Noob background correction |
openSesame | The openSesame pipeline |
openSesameToFile | openSesame pipeline with file-backed storage |
plotLollipop | plotLollipop creates a lollipop plot of log(estimate) given data with fields estimate. |
plotVolcano | plotVolcano creates a volcano plot of -log2(p.value) and log(estimate) given data with fields estimate and p.value. |
pOOBAH | Detection P-value based on ECDF of out-of-band signal |
pOOBAH2 | Detection P-value based on ECDF of out-of-band signal |
predictAgeHorvath353 | Horvath 353 age predictor |
predictAgeSkinBlood | Horvath Skin and Blood age predictor |
predictMouseAgeInMonth | Mouse age predictor |
print.DMLSummary | Print DMLSummary object |
print.fileSet | Print a fileSet |
print.sesameQC | Print sesameQC object |
print.SigDF | Print SigDF object |
probeID_designType | Extract the probe type field from probe ID This only works with the new probe ID system. See https://github.com/zhou-lab/InfiniumAnnotation for illustration |
probeSuccessRate | Whole-dataset-wide Probe Success Rate |
qualityMask | Mask beta values by design quality |
qualityRank | This function looks at public data of similar nature e.g., tissue, FFPE vs non-FFPE, etc to evaluate the quality of the target data quality |
readFileSet | Read an existing fileSet from storage |
readIDATpair | Import a pair of IDATs from one sample |
reIdentify | Re-identify IDATs by restoring scrambled SNP intensities |
reopenSesame | re-compute beta value for GenomicRatioSet |
resetMask | Reset Masking |
RGChannelSetToSigDFs | Convert RGChannelSet (minfi) to a list of SigDF (SeSAMe) |
scrub | SCRUB background correction |
scrubSoft | SCRUB background correction |
sdfPlatform | Convenience function to output platform attribute of SigDF |
sdf_read_table | read a table file to SigDF |
sdf_write_table | write SigDF to table file |
searchIDATprefixes | Identify IDATs from a directory |
segmentBins | Segment bins using DNAcopy |
sesame | Analyze DNA methylation data |
sesamePlotIntensVsBetas | Plot Total Signal Intensities vs Beta Values This plot is helpful in revealing the extent of signal background and dye bias. |
sesamePlotRedGrnQQ | Plot red-green QQ-Plot using Infinium-I Probes |
sesameQC | Generate summary numbers that indicative of experiment quality Please provide a raw SigDF(before any preprocessing). Usually directly from readIDATpair |
sesamize | "fix" an RGChannelSet (for which IDATs may be unavailable) with Sesame The input is an RGSet and the output is a sesamized minfi::GenomicRatioSet |
setMask | Set mask to only the probes specified |
setMaskBySpecies | Set mask using species-specific manifest |
SigDF | SigDF constructor from a plain data frame |
SigDFsToRGChannelSet | Convert sesame::SigDF to minfi::RGChannelSet |
SigDFToRatioSet | Convert one sesame::SigDF to minfi::RatioSet |
signalMU | report M and U for regular probes |
sliceFileSet | Slice a fileSet with samples and probes |
SNPcheck | Check sample identity using SNP probes |
summaryExtractTest | Extract slope information from DMLSummary |
testEnrichment | testEnrichment tests for the enrichment of set of probes (query set) in a number of features (database sets). |
testEnrichment1 | testEnrichment1 tests for the enrichment of set of probes (query set) in a single given feature (database set) |
testEnrichmentFGSEA | testEnrichmentFGSEA uses the FGSEA test to estimate the association of a categorical variable against a continuous variable. |
testEnrichmentFisher | testEnrichmentFisher uses Fisher's exact test to estimate the association between two categorical variables. |
testEnrichmentGene | testEnrichmentGene tests for the enrichment of set of probes (querySet) in gene regions. |
testEnrichmentSpearman | testEnrichmentSpearman uses the Spearman statistical test to estimate the association between two continuous variables. |
totalIntensities | M+U Intensities Array |
twoCompsEst2 | Estimate the fraction of the 2nd component in a 2-component mixture |
visualizeGene | Visualize Gene |
visualizeProbes | Visualize Region that Contains the Specified Probes |
visualizeRegion | Visualize Region |
visualizeSegments | Visualize segments |
_PACKAGE | Analyze DNA methylation data |