Nothing
MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Jiebiao Wang and Lin S. Chen |
| Maintainer | Jiebiao Wang <randel.wang@gmail.com> |
| License | GPL |
| Version | 1.0 |
| URL | https://github.com/randel/MixRF |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the MixRF package in your browser
Any scripts or data that you put into this service are public.
