Cite
Goudey B, Abedini M, Hopper JL, et al. High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies. Health Inf Sci Syst. 2015;3:S3doi: 10.1186/2047-2501-3-S1-S3.
Goudey, B., Abedini, M., Hopper, J. L., Inouye, M., Makalic, E., Schmidt, D. F., Wagner, J., Zhou, Z., Zobel, J., & Reumann, M. (2015). High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies. Health information science and systems, 3S3. https://doi.org/10.1186/2047-2501-3-S1-S3
Goudey, Benjamin, et al. "High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies." Health information science and systems vol. 3 (2015): S3. doi: https://doi.org/10.1186/2047-2501-3-S1-S3
Goudey B, Abedini M, Hopper JL, Inouye M, Makalic E, Schmidt DF, Wagner J, Zhou Z, Zobel J, Reumann M. High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies. Health Inf Sci Syst. 2015 Feb 24;3:S3. doi: 10.1186/2047-2501-3-S1-S3. eCollection 2015. PMID: 25870758; PMCID: PMC4383059.
Copy
Download .nbib