Description Usage Arguments Details Value Author(s) See Also

This procedure takes a table of meaned downsized gene counts where at least one column is donwsized at a common minimal level. It uses this information to fit distributions of correlations between different downsized levels and "predict" values for the samples that have not the needed sequencing depth. The fitting of the models is based on the n-1 to be closer to reality and avoid accumulating errors.

1 | ```
computeUpsizedGC(richness.table, side = 2, keep.real = TRUE, plot = FALSE)
``` |

`richness.table` |
: matrix with samples in rows and downsizings in the columns as produced by downsizedRichnessL2T |

`side` |
: by default is 2 (downsizings in the columns) |

`keep.real` |
: by default is TRUE. Substitue the predicted values by the real values when is not NA |

`plot` |
: default FALSE, plots the regressions |

`computeUpsizedGC`

matrix with the same dimensions as richness.table but with complete values.

Edi Prifti & Emmanuelle Le Chatelier

`downsizedRichnessL2T`

and `downsizeGC.all`

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