APA (7th ed.) Citation

Suita, Y., Bright Jr, H., Pu, Y., Toruner, M. D., Idehen, J., Tapinos, N., & Singh, R. (2025). Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma. PLoS Computational Biology, 21(8), 1. https://doi.org/10.1371/journal.pcbi.1012272

Chicago Style (17th ed.) Citation

Suita, Yusuke, Hardy Bright Jr, Yuan Pu, Merih Deniz Toruner, Jordan Idehen, Nikos Tapinos, and Ritambhara Singh. "Machine Learning on Multiple Epigenetic Features Reveals H3K27Ac as a Driver of Gene Expression Prediction Across Patients with Glioblastoma." PLoS Computational Biology 21, no. 8 (2025): 1. https://doi.org/10.1371/journal.pcbi.1012272.

MLA (9th ed.) Citation

Suita, Yusuke, et al. "Machine Learning on Multiple Epigenetic Features Reveals H3K27Ac as a Driver of Gene Expression Prediction Across Patients with Glioblastoma." PLoS Computational Biology, vol. 21, no. 8, 2025, p. 1, https://doi.org/10.1371/journal.pcbi.1012272.