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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.
Package details |
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Author | Tao Wang, Chongzhi Zang |
Maintainer | Tao Wang <tao.wang@utsouthwestern.edu> |
License | GPL-2 |
Version | 1.4 |
Package repository | View on CRAN |
Installation |
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