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.
|Author||Tao Wang, Chongzhi Zang|
|Maintainer||Tao Wang <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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