Juan (Wendy) Zhao, PhD


Research Assistant Professor

Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) LPA


Journal article


Juan Zhao, QiPing Feng, Patrick Wu, Jeremy L. Warner, Joshua C. Denny, Wei-Qi Wei
PloS One, vol. 14, 2019, pp. e0212112

Cite

Cite

APA
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
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
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.


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