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Hierarchical Markov Random Field model captures spatial dependency in gene expression, demonstrating regulation via the 3D genome
View ORCID ProfileNaihui Zhou, View ORCID ProfileIddo Friedberg, Mark S. Kaiser
doi: https://doi.org/10.1101/2019.12.16.878371
Naihui Zhou
1Bioinformatics and Computational Biology Graduate Program, Iowa State University, Ames, IA, USA
Iddo Friedberg
2Department of Veterinary Microbiology and Preventive Medicine, Iowa State University, Ames, IA, USA
Mark S. Kaiser
3Department of Statistics, Iowa State University, Ames, IA, USA
Posted February 19, 2020.
Hierarchical Markov Random Field model captures spatial dependency in gene expression, demonstrating regulation via the 3D genome
Naihui Zhou, Iddo Friedberg, Mark S. Kaiser
bioRxiv 2019.12.16.878371; doi: https://doi.org/10.1101/2019.12.16.878371
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