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Addressing confounding artifacts in reconstruction of gene co-expression networks
View ORCID ProfilePrincy Parsana, Claire Ruberman, Andrew E. Jaffe, Michael C. Schatz, Alexis Battle, Jeffery T. Leek
doi: https://doi.org/10.1101/202903
Princy Parsana
1Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
Claire Ruberman
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
Andrew E. Jaffe
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
3Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
4Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
5McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
6Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
Michael C. Schatz
1Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
7Department of Biology, Johns Hopkins University, Baltimore, MD, USA
Alexis Battle
1Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
Jeffery T. Leek
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
6Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
Posted October 13, 2017.
Addressing confounding artifacts in reconstruction of gene co-expression networks
Princy Parsana, Claire Ruberman, Andrew E. Jaffe, Michael C. Schatz, Alexis Battle, Jeffery T. Leek
bioRxiv 202903; doi: https://doi.org/10.1101/202903
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