BayesSurvive-package

An implementation of Bayesian survival models with graph-structured selection priors for sparse identification of omics features predictive of survival (Madjar et al., 2021 tools:::Rd_expr_doi("10.1186/s12859-021-04483-z")) and its extension to use a fixed graph via a Markov Random Field (MRF) prior for capturing known structure of omics features, e.g. disease-specific pathways from the Kyoto Encyclopedia of Genes and Genomes database.

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An implementation of Bayesian survival models with graph-structured selection priors for sparse identification of omics features predictive of survival (Madjar et al., 2021 <doi:10.1186/s12859-021-04483-z>) and its extension to use a fixed graph via a Markov Random Field (MRF) prior for capturing known structure of omics features, e.g. disease-specific pathways from the Kyoto Encyclopedia of Genes and Genomes database.

Zhi Zhao

BayesSurvive

Bayesian Survival Models for High-Dimensional Data

Katrin Madjar

Tobias Østmo Hermansen

Manuela Zucknick

Jörg Rahnenführer

BayesSurvive-package function

Maintainer: Zhi Zhao <a href="/link/zhi.zhao%40medisin.uio.no?package=BayesSurvive&version=0.0.2" data-mini-rdoc="BayesSurvive::zhi.zhao@medisin.uio.no">zhi.zhao@medisin.uio.no</a>
Authors:<ul>
<li>Katrin Madjar</li>
<li>Tobias Østmo Hermansen</li>
</ul>Other contributors:<ul>
<li>Manuela Zucknick [contributor]</li>
<li>Jörg Rahnenführer [contributor]</li>
</ul>

Author

BayesSurvive: Bayesian Survival Models for High-Dimensional Data — BayesSurvive-package

Maintainer: Zhi Zhao <a href='mailto:zhi.zhao@medisin.uio.no'>zhi.zhao@medisin.uio.no</a>
Authors:<ul>
<li>Katrin Madjar</li>
<li>Tobias Østmo Hermansen</li>
</ul>

Other contributors:<ul>
<li>Manuela Zucknick [contributor]</li>
<li>Jörg Rahnenführer [contributor]</li>
</ul>

BayesSurvive-package: BayesSurvive: Bayesian Survival Models for High-Dimensional Data

Description

Arguments

Author

See Also