Prediction of non-canonical polyadenylation signals in human genomic sequences based on a novel algorithm using a fuzzy membership function.

MLA

Kamasawa, Masami, and Jun-Ichi Horiuchi. “Prediction of Non-Canonical Polyadenylation Signals in Human Genomic Sequences Based on a Novel Algorithm Using a Fuzzy Membership Function.” Journal of Bioscience and Bioengineering, vol. 107, no. 5, May 2009, pp. 569–78. EBSCOhost, https://doi.org/10.1016/j.jbiosc.2009.01.001.

APA

Kamasawa, M., & Horiuchi, J.-I. (2009). Prediction of non-canonical polyadenylation signals in human genomic sequences based on a novel algorithm using a fuzzy membership function. Journal of Bioscience and Bioengineering, 107(5), 569–578. https://doi.org/10.1016/j.jbiosc.2009.01.001

Chicago

Kamasawa, Masami, and Jun-Ichi Horiuchi. 2009. “Prediction of Non-Canonical Polyadenylation Signals in Human Genomic Sequences Based on a Novel Algorithm Using a Fuzzy Membership Function.” Journal of Bioscience and Bioengineering 107 (5): 569–78. doi:10.1016/j.jbiosc.2009.01.001.