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MixMir: microRNA motif discovery from gene expression data using mixed linear models
Liyang Diao, Antoine Marcais, Scott Norton, Kevin C. Chen
doi: https://doi.org/10.1101/004010
Liyang Diao
1BioMaPS Institute for Quantitative Biology and Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
Antoine Marcais
2CIRI, International Center for Infectiology Research, Université de Lyon, Inserm, CNRS, Ecole Normale Supérieure, Lyon, France
Scott Norton
1BioMaPS Institute for Quantitative Biology and Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
3Department of Mathematics and Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA
Kevin C. Chen
1BioMaPS Institute for Quantitative Biology and Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
Article usage
Posted April 09, 2014.
MixMir: microRNA motif discovery from gene expression data using mixed linear models
Liyang Diao, Antoine Marcais, Scott Norton, Kevin C. Chen
bioRxiv 004010; doi: https://doi.org/10.1101/004010
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