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IMIX: A multivariate mixture model approach to integrative analysis of multiple types of omics data

View ORCID ProfileZiqiao Wang, View ORCID ProfilePeng Wei
doi: https://doi.org/10.1101/2020.06.23.167312
Ziqiao Wang
1Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
2The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA
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Peng Wei
1Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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  • For correspondence: pwei2@mdanderson.org
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Posted June 24, 2020.
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IMIX: A multivariate mixture model approach to integrative analysis of multiple types of omics data
Ziqiao Wang, Peng Wei
bioRxiv 2020.06.23.167312; doi: https://doi.org/10.1101/2020.06.23.167312
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IMIX: A multivariate mixture model approach to integrative analysis of multiple types of omics data
Ziqiao Wang, Peng Wei
bioRxiv 2020.06.23.167312; doi: https://doi.org/10.1101/2020.06.23.167312

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