Description Usage Arguments Value Examples

Returns estimated drop-out probability for each cell (row of `models`

matrix), given either an expression magnitude

1 | ```
scde.failure.probability(models, magnitudes = NULL, counts = NULL)
``` |

`models` |
models determined by |

`magnitudes` |
a vector ( |

`counts` |
a vector ( |

a vector or a matrix of drop-out probabilities

1 2 3 4 5 6 7 8 9 10 | ```
data(es.mef.small)
cd <- clean.counts(es.mef.small, min.lib.size=1000, min.reads = 1, min.detected = 1)
data(o.ifm) # Load precomputed model. Use ?scde.error.models to see how o.ifm was generated
o.prior <- scde.expression.prior(models = o.ifm, counts = cd, length.out = 400, show.plot = FALSE)
# calculate probability of observing a drop out at a given set of magnitudes in different cells
mags <- c(1.0, 1.5, 2.0)
p <- scde.failure.probability(o.ifm, magnitudes = mags)
# calculate probability of observing the dropout at a magnitude corresponding to the
# number of reads actually observed in each cell
self.p <- scde.failure.probability(o.ifm, counts = cd)
``` |

hms-dbmi/scde documentation built on March 29, 2018, 1:23 p.m.

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