Cita 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.

Chicago Style Citation

Martin, Jeffrey W., Susan Chilton-MacNeill, Madhuri Koti, Andre J. van Wijnen, Jeremy A. Squire, i 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.

Cita 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.