Παραπομπή APA

Martin, J. W., Chilton-MacNeill, S., Koti, M., van Wijnen, A. J., Squire, J. A., & Zielenska, M. (2014). Digital Expression Profiling Identifies RUNX2, CDC5L, MDM2, RECQL4, and CDK4 as Potential Predictive Biomarkers for Neo-Adjuvant Chemotherapy Response in Paediatric Osteosarcoma. Public Library of Science.

Παραπομπή Chicago Style

Martin, Jeffrey W., Susan Chilton-MacNeill, Madhuri Koti, Andre J. van Wijnen, Jeremy A. Squire, και Maria Zielenska. Digital Expression Profiling Identifies RUNX2, CDC5L, MDM2, RECQL4, and CDK4 As Potential Predictive Biomarkers for Neo-Adjuvant Chemotherapy Response in Paediatric Osteosarcoma. Public Library of Science, 2014.

Παραπομπή MLA

Martin, Jeffrey W., et al. Digital Expression Profiling Identifies RUNX2, CDC5L, MDM2, RECQL4, and CDK4 As Potential Predictive Biomarkers for Neo-Adjuvant Chemotherapy Response in Paediatric Osteosarcoma. Public Library of Science, 2014.

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