scde.fit.models.to.reference {scde} | R Documentation

## Fit scde models relative to provided set of expression magnitudes

### Description

If group-average expression magnitudes are available (e.g. from bulk measurement), this method can be used to fit individual cell error models relative to that reference

### Usage

    scde.fit.models.to.reference(counts, reference, n.cores = 10,
      zero.count.threshold = 1, nrep = 1, save.plots = FALSE,
      plot.filename = "reference.model.fits.pdf", verbose = 0, min.fpm = 1)

### Arguments

`counts` | count matrix
`reference` | a vector of expression magnitudes (read counts) corresponding to the rows of the count matrix
`n.cores` | number of cores to use
`zero.count.threshold` | read count to use as an initial guess for the zero threshold
`nrep` | number independent of mixture fit iterations to try (default = 1)
`save.plots` | whether to write out a pdf file showing the model fits
`plot.filename` | model fit pdf filename
`verbose` | verbose level
`min.fpm` | minimum reference fpm of genes that will be used to fit the models (defaults to 1). Note: fpm is calculated from the reference count vector as reference/sum(reference)*1e6

### Value

matrix of scde models

### Examples

    data(es.mef.small)
    cd <- clean.counts(es.mef.small, min.lib.size=1000, min.reads = 1, min.detected = 1)

    o.ifm <- scde.error.models(counts = cd, groups = sg, n.cores = 10, threshold.segmentation = TRUE)
    o.prior <- scde.expression.prior(models = o.ifm, counts = cd, length.out = 400, show.plot = FALSE)
    # calculate joint posteriors across all cells
    jp <- scde.posteriors(models = o.ifm, cd, o.prior, n.cores = 10, return.individual.posterior.modes = TRUE, n.randomizations = 100)
    # use expected expression magnitude for each gene
    av.mag <- as.numeric(jp$jp %*% as.numeric(colnames(jp$jp)))
    # translate into counts
    av.mag.counts <- as.integer(round(av.mag))
    # now, fit alternative models using av.mag as a reference (normally this would correspond to bulk RNA expression magnitude)
    ref.models <- scde.fit.models.to.reference(cd, av.mag.counts, n.cores = 1)

[Package scde version 2.16.0 Index]