APA aipamena

Shin, S., Müller, A., Verma, N., Lev, S., & Nguyen, L. K. (2018). Systems modelling of the EGFR-PYK2-c-Met interaction network predicts and prioritizes synergistic drug combinations for triple-negative breast cancer. PLoS Comput Biol.

Chicago Style aipamena

Shin, Sung-Young, Anna-Katharina Müller, Nandini Verma, Sima Lev, and Lan K. Nguyen. "Systems Modelling of the EGFR-PYK2-c-Met Interaction Network Predicts and Prioritizes Synergistic Drug Combinations for Triple-negative Breast Cancer." PLoS Comput Biol 2018.

MLA aipamena

Shin, Sung-Young, et al. "Systems Modelling of the EGFR-PYK2-c-Met Interaction Network Predicts and Prioritizes Synergistic Drug Combinations for Triple-negative Breast Cancer." PLoS Comput Biol 2018.

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