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|
|Date of publication||2016-03-02 01:14:19|
|Maintainer||Tao Wang <[email protected]>|
|Package repository||View on CRAN|
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