calcDatabaseSetStatisticsAll {sesame} | R Documentation

## calcDatabaseSetStatisticsAll builds dataset for a given betas matrix composed of engineered features from the given database sets

### Description

calcDatabaseSetStatisticsAll builds dataset for a given betas matrix composed of engineered features from the given database sets

### Usage

    calcDatabaseSetStatisticsAll(betas, databaseSets)

### Arguments

`betas` | matrix of beta values where probes are on the rows and samples are on the columns
`databaseSets` | List of vectors corresponding to probe locations for which the features will be extracted

### Value

Vector for a given sample columns are features across different databaseSets

### Examples

    library(SummarizedExperiment)
    se = sesameDataGet('MM285.20Kx467.SE')
    samplesheet = colData(se)[, c("Mouse_Age_Months", "Mouse_Age_Days", "Sex",
    "Strain_Corrected","Tissue_Corrected", 'Genotype')]
    betas = assay(se)
    databaseSetNames = c('KYCG.MM285.seqContextN.20210630',
    'KYCG.MM285.probeType.20210630')
    databaseSets = do.call(c, lapply(databaseSetNames, sesameDataGet))
    calcDatabaseSetStatisticsAll(betas, databaseSets=databaseSets)

[Package sesame version 1.12.9 Index]