Cite
Makielski KM, Donnelly AJ, Khammanivong A, et al. Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning. Lab Invest. 2021;101(12):1585-1596doi: 10.1038/s41374-021-00655-w.
Makielski, K. M., Donnelly, A. J., Khammanivong, A., Scott, M. C., Ortiz, A. R., Galvan, D. C., Tomiyasu, H., Amaya, C., Ward, K. A., Montoya, A., Garbe, J. R., Mills, L. J., Cutter, G. R., Fenger, J. M., Kisseberth, W. C., O'Brien, T. D., Weigel, B. J., Spector, L. G., Bryan, B. A., Subramanian, S., & Modiano, J. F. (2021). Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning. Laboratory investigation; a journal of technical methods and pathology, 101(12), 1585-1596. https://doi.org/10.1038/s41374-021-00655-w
Makielski, Kelly M, et al. "Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning." Laboratory investigation; a journal of technical methods and pathology vol. 101,12 (2021): 1585-1596. doi: https://doi.org/10.1038/s41374-021-00655-w
Makielski KM, Donnelly AJ, Khammanivong A, Scott MC, Ortiz AR, Galvan DC, Tomiyasu H, Amaya C, Ward KA, Montoya A, Garbe JR, Mills LJ, Cutter GR, Fenger JM, Kisseberth WC, O'Brien TD, Weigel BJ, Spector LG, Bryan BA, Subramanian S, Modiano JF. Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning. Lab Invest. 2021 Dec;101(12):1585-1596. doi: 10.1038/s41374-021-00655-w. Epub 2021 Sep 06. PMID: 34489559.
Copy
Download .nbib