netReg-package: The _netReg_ package

Description Details Author(s) References

Description

netReg is a package for generalized linear regression that includes prior graphs in the models objective function.

Details

netReg uses Armadillo and TensorFlow for fast matrix computations and optimization.

Author(s)

Simon Dirmeier | simon.dirmeier@gmx.de

References

Dirmeier, Simon and Fuchs, Christiane and Mueller, Nikola S and Theis, Fabian J (2018), netReg: Network-regularized linear models for biological association studies.
Bioinformatics

Abadi, Martín et al. (2016), Tensorflow: A system for large-scale machine learning.
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16)

Powell M.J.D. (2009), The BOBYQA algorithm for bound constrained optimization without derivatives.
http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2009_06.pdf Eddelbuettel, Dirk and Sanderson, Conrad (2014), RcppArmadillo: Accelerating R with high-performance C++ linear algebra. Computational Statistics & Data Analysis


netReg documentation built on Nov. 8, 2020, 5:17 p.m.