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XMRF: An R package to Fit Markov Networks to High-Throughput Genetics Data
Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, View ORCID ProfileZhandong Liu
doi: https://doi.org/10.1101/032219
Ying-Wooi Wan
1Computational and Integrative Biomedical Research Center, Houston, Texas, USA.
2Department of Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Genevera I. Allen
3Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, Texas, USA.
4Department of Statistics and Electrical & Computer Engineering, Rice University, Houston, Texas, USA.
Yulia Baker
3Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, Texas, USA.
Eunho Yang
5IBM Thomas J. Waston Research Center, Yorktown Heights, New York, USA.
Pradeep Ravikumar
6Department of Computer Science, University of Texas, Austin, Texas, USA.
Zhandong Liu
1Computational and Integrative Biomedical Research Center, Houston, Texas, USA.
3Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, Texas, USA.
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Posted November 18, 2015.
XMRF: An R package to Fit Markov Networks to High-Throughput Genetics Data
Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Zhandong Liu
bioRxiv 032219; doi: https://doi.org/10.1101/032219
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