APA (7th ed.) Citation

Chakraborty, S., Guan, Z., Begg, C. B., & Shen, R. (2024). Topical hidden genome: Discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach. Biometrics, 80(2), 1. https://doi.org/10.1093/biomtc/ujae030

Chicago Style (17th ed.) Citation

Chakraborty, Saptarshi, Zoe Guan, Colin B. Begg, and Ronglai Shen. "Topical Hidden Genome: Discovering Latent Cancer Mutational Topics Using a Bayesian Multilevel Context-learning Approach." Biometrics 80, no. 2 (2024): 1. https://doi.org/10.1093/biomtc/ujae030.

MLA (9th ed.) Citation

Chakraborty, Saptarshi, et al. "Topical Hidden Genome: Discovering Latent Cancer Mutational Topics Using a Bayesian Multilevel Context-learning Approach." Biometrics, vol. 80, no. 2, 2024, p. 1, https://doi.org/10.1093/biomtc/ujae030.

Warning: These citations may not always be 100% accurate.