APA   Click to copy
Zhao, J., Feng, Q. P., Wu, P., Warner, J. L., Denny, J. C., & Wei, W.-Q. (2019). Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) LPA. PloS One, 14, e0212112.

Chicago/Turabian   Click to copy
Zhao, Juan, QiPing Feng, Patrick Wu, Jeremy L. Warner, Joshua C. Denny, and Wei-Qi Wei. “Using Topic Modeling via Non-Negative Matrix Factorization to Identify Relationships between Genetic Variants and Disease Phenotypes: A Case Study of Lipoprotein(a) LPA.” PloS One 14 (2019): e0212112.

MLA   Click to copy
Zhao, Juan, et al. “Using Topic Modeling via Non-Negative Matrix Factorization to Identify Relationships between Genetic Variants and Disease Phenotypes: A Case Study of Lipoprotein(a) LPA.” PloS One, vol. 14, 2019, p. e0212112.

@article{zhao2019a,
  title = {Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) LPA},
  year = {2019},
  journal = {PloS One},
  pages = {e0212112},
  volume = {14},
  author = {Zhao, Juan and Feng, QiPing and Wu, Patrick and Warner, Jeremy L. and Denny, Joshua C. and Wei, Wei-Qi}
}