Cite
Capturing Uncertainty by Modeling Local Transposon Insertion Frequencies Improves Discrimination of Essential Genes
MLA
Thomas R. Ioerger, and Michael A. DeJesus. “Capturing Uncertainty by Modeling Local Transposon Insertion Frequencies Improves Discrimination of Essential Genes.” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, Jan. 2015, pp. 92–102. EBSCOhost, https://doi.org/10.1109/tcbb.2014.2326857.
APA
Thomas R. Ioerger, & Michael A. DeJesus. (2015). Capturing Uncertainty by Modeling Local Transposon Insertion Frequencies Improves Discrimination of Essential Genes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12, 92–102. https://doi.org/10.1109/tcbb.2014.2326857
Chicago
Thomas R. Ioerger, and Michael A. DeJesus. 2015. “Capturing Uncertainty by Modeling Local Transposon Insertion Frequencies Improves Discrimination of Essential Genes.” IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (January): 92–102. doi:10.1109/tcbb.2014.2326857.