Cite
The GENDULF algorithm: mining transcriptomics to uncover modifier genes for monogenic diseases.
MLA
Auslander, Noam, et al. “The GENDULF Algorithm: Mining Transcriptomics to Uncover Modifier Genes for Monogenic Diseases.” Molecular Systems Biology, vol. 16, no. 12, Dec. 2020, p. e9701. EBSCOhost, https://doi.org/10.15252/msb.20209701.
APA
Auslander, N., Ramos, D. M., Zelaya, I., Karathia, H., Crawford, T. O., Schäffer, A. A., Sumner, C. J., & Ruppin, E. (2020). The GENDULF algorithm: mining transcriptomics to uncover modifier genes for monogenic diseases. Molecular Systems Biology, 16(12), e9701. https://doi.org/10.15252/msb.20209701
Chicago
Auslander, Noam, Daniel M Ramos, Ivette Zelaya, Hiren Karathia, Thomas O Crawford, Alejandro A Schäffer, Charlotte J Sumner, and Eytan Ruppin. 2020. “The GENDULF Algorithm: Mining Transcriptomics to Uncover Modifier Genes for Monogenic Diseases.” Molecular Systems Biology 16 (12): e9701. doi:10.15252/msb.20209701.