Description Usage Arguments Value

View source: R/data_processing.R

Normalize, adjust feature variance, and scale data matrix

1 2 | ```
ScaleCounts(counts, batch = NULL, method = "log", adj.var = T,
plot.var.adj = F, gam.k = 10)
``` |

`counts` |
Input data matrix |

`batch` |
Factor with batch identity for each sample |

`method` |
Scaling method |

`adj.var` |
Whether or not to apply mean variance adjustment for features |

`plot.var.adj` |
Whether or not to plot the mean variance relationship |

`gam.k` |
Number of additive models to use for variance modeling |

Normalized and scaled data matrix

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