APA (7th ed.) Citation

Suita, Y., Bright, H., Pu, Y., Toruner, M. D., Idehen, J., Tapinos, N., & Singh, R. Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma. Public Library of Science (PLoS).

Chicago Style (17th ed.) Citation

Suita, Yusuke, Hardy Bright, 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. Public Library of Science (PLoS).

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. Public Library of Science (PLoS).