MixRF-package: A random-forest-based algorithm for imputing clustered...
In MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
Description
Details
Author(s)
References
See Also
Description
This package 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.
Details
Package: MixRF
Type: Package
Version: 1.0
Date: 2016-04-05
License: GPL
LazyLoad: yes
Author(s)
Jiebiao Wang and Lin S. Chen
Maintainer: Jiebiao Wang <randel.wang@gmail.com>
References
Wang, J., Gamazon, E.R., Pierce, B.L., Stranger, B.E., Im, H.K., Gibbons, R.D., Cox, N.J., Nicolae, D.L. and Chen, L.S.
(2016) Imputing gene expression in uncollected tissues within and beyond GTEx. http://dx.doi.org/10.1016/j.ajhg.2016.02.020
See Also
MixRF documentation built on May 1, 2019, 10:17 p.m.
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Description Details Author(s) References See Also
Description
This package 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.
Details
| Package: | MixRF |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2016-04-05 |
| License: | GPL |
| LazyLoad: | yes |
Author(s)
Jiebiao Wang and Lin S. Chen
Maintainer: Jiebiao Wang <randel.wang@gmail.com>
References
Wang, J., Gamazon, E.R., Pierce, B.L., Stranger, B.E., Im, H.K., Gibbons, R.D., Cox, N.J., Nicolae, D.L. and Chen, L.S. (2016) Imputing gene expression in uncollected tissues within and beyond GTEx. http://dx.doi.org/10.1016/j.ajhg.2016.02.020
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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