netReg-package: Network-Regularized Regression Models
In dirmeier/netReg: Network-Regularized Regression Models
netReg-package R Documentation
Network-Regularized Regression Models
Description
netReg fits linear regression models using network-regularization.
Network-regularization used graph prior as penality for the coefficients of linear models.
The graph can represent any relationship between the covariables/responses of the
model, for instance, some quantifiable biological relationship such as coexpression.
Details
netReg uses Armadillo and TensorFlow for
fast matrix computations and optimization.
Author(s)
Simon Dirmeier | simon.dirmeier@web.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, 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
dirmeier/netReg documentation built on July 11, 2024, 1:22 p.m.
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| netReg-package | R Documentation |
Network-Regularized Regression Models
Description
netReg fits linear regression models using network-regularization. Network-regularization used graph prior as penality for the coefficients of linear models. The graph can represent any relationship between the covariables/responses of the model, for instance, some quantifiable biological relationship such as coexpression.
Details
netReg uses Armadillo and TensorFlow for fast matrix computations and optimization.
Author(s)
Simon Dirmeier | simon.dirmeier@web.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, 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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