Provides a general framework to perform statistical inference of each gene pair
and global inference of whole-scale gene pairs in gene networks using the well known
Gaussian graphical model (GGM) in a time-efficient manner. We focus on the high-dimensional
settings where p (the number of genes) is allowed to be far larger than n (the number of subjects).
Four main approaches are supported in this package: (1) the bivariate nodewise scaled Lasso
(Ren et al (2015)
|Author||Rong Zhang, Zhao Ren and Wei Chen|
|Date of publication||2017-10-16 11:49:17 UTC|
|Maintainer||Rong Zhang <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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