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Weiskittel TM, Cao A, Meng-Lin K, Lehmann Z, Feng B, Correia C, Zhang C, Wisniewski P, Zhu S, Yong Ung C, et al. Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms. Pharmaceuticals. 2023; 16(5):752. https://doi.org/10.3390/ph16050752

Weiskittel, Taylor M., Andrew Cao, Kevin Meng-Lin, Zachary Lehmann, Benjamin Feng, Cristina Correia, Cheng Zhang, Philip Wisniewski, Shizhen Zhu, Choong Yong Ung, and et al. 2023. "Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms" Pharmaceuticals 16, no. 5: 752. https://doi.org/10.3390/ph16050752

Weiskittel, T. M., Cao, A., Meng-Lin, K., Lehmann, Z., Feng, B., Correia, C., Zhang, C., Wisniewski, P., Zhu, S., Yong Ung, C., & Li, H. (2023). Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms. Pharmaceuticals, 16(5), 752. https://doi.org/10.3390/ph16050752