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High-dimensional data integration is a critical but difficult problem in genomics research because of potential biases from high-throughput experiments. We present MANCIE, a computational method for integrating two genomic data sets with homogenous dimensions from different sources based on a PCA procedure as an approximation to a Bayesian approach.
| Version: | 1.4 |
| Depends: | R (≥ 2.15.0) |
| Published: | 2016-03-02 |
| Author: | Tao Wang, Chongzhi Zang |
| Maintainer: | Tao Wang <tao.wang at utsouthwestern.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | MANCIE results |
| Reference manual: | MANCIE.pdf |
| Package source: | MANCIE_1.4.tar.gz |
| Windows binaries: | r-devel: MANCIE_1.4.zip, r-release: MANCIE_1.4.zip, r-oldrel: MANCIE_1.4.zip |
| macOS binaries: | r-release (arm64): MANCIE_1.4.tgz, r-oldrel (arm64): MANCIE_1.4.tgz, r-release (x86_64): MANCIE_1.4.tgz, r-oldrel (x86_64): MANCIE_1.4.tgz |
| Old sources: | MANCIE archive |
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These binaries (installable software) and packages are in development.
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