calculate_fc: Calculate splicing diversity changes between two conditions.
In esebesty/SplicingFactory: Splicing Diversity Analysis for Transcriptome Data

Description Usage Arguments Details Value

Calculate splicing diversity changes between two conditions.

1	calculate_fc(x, samples, control, method = "mean")

`x`	A `matrix` with the splicing diversity values.
`samples`	Character vector with an equal length to the number of columns in the input dataset, specifying the category of each sample.
`control`	Name of the control sample category, defined in the `samples` vector, e.g. `control = 'Normal'` or `control = 'WT'`.
`method`	Method to use for calculating the average splicing diversity value in a condition. Can be `'mean'` or `'median'`.

The function uses a matrix of splicing diversity values in order to calculate mean or median differences and log2 fold changes between two conditions.

A data.frame with mean or median value of splicing diversity across sample categories, the difference between these values and the log2 fold change values.

esebesty/SplicingFactory documentation built on Feb. 27, 2022, 12:08 a.m.