Performs the adaptive false negative control (AFNC), as descripted in Jeng et al. (2016). The AFNC can provide informative analysis of very high-dimensional datasets with weak signals, such as in the analysis of large-scale sequencing studies at the single locus level, by including a large proportion of signals with high confidence. The proportion of signals is estimated adaptively from the data.
|Author||Z. John Daye and X. Jessie Jeng|
|Maintainer||Z. John Daye <[email protected]>|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.