Description Details Author(s) References

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

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

Simon Dirmeier | simon.dirmeier@gmx.de

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, MartÃn 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*

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