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Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments

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Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments. / Selega, Alina; Sirocchi, Christel; Iosub, Ira; Granneman, Sander; Sanguinetti, Guido.

In: Nature Methods, Vol. 14, No. 1, 2017, p. 83-89.

Research output: Contribution to journalArticle

Harvard

Selega, A, Sirocchi, C, Iosub, I, Granneman, S & Sanguinetti, G 2017, 'Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments', Nature Methods, vol. 14, no. 1, pp. 83-89. https://doi.org/10.1038/nmeth.4068

APA

Selega, A., Sirocchi, C., Iosub, I., Granneman, S., & Sanguinetti, G. (2017). Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments. Nature Methods, 14(1), 83-89. https://doi.org/10.1038/nmeth.4068

Vancouver

Selega A, Sirocchi C, Iosub I, Granneman S, Sanguinetti G. Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments. Nature Methods. 2017;14(1):83-89. https://doi.org/10.1038/nmeth.4068

Author

Selega, Alina ; Sirocchi, Christel ; Iosub, Ira ; Granneman, Sander ; Sanguinetti, Guido. / Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments. In: Nature Methods. 2017 ; Vol. 14, No. 1. pp. 83-89.