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Empirical Bayesian Elastic Net EBEN

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An empirical Bayesian EN algorithm for multiple QTL mapping that inherits the efficiency of the previously developed EBlasso algorithm. Simulation results demonstrated that EBEN provided higher power of detection and almost the same false discovery rate compared with EN and EBlasso. Particularly, EBEN can identify correlated QTLs that the other two algorithms may fail to identify.

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EBEN versioning

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EBEN classification

EBEN specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Version:
4.6
Requirements:
R, methods

EBEN support

Documentation

Maintainer

  • Anhui Huang <>

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Publications

Institution(s)

Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA

Link to literature

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