zjdaye/AFNC: Adaptive False Negative Control (AFNC)
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.
Getting started
Browse package contents
Package details |
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| Author | Z. John Daye and X. Jessie Jeng |
| Maintainer | Z. John Daye <zhongyindaye@gmail.com> |
| License | GPLv3 |
| Version | 1.0 |
| URL | http://sites.google.com/site/zhongyindaye/software/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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