Logan, A. C., Zhang, B., Narasimhan, B., Carlton, V., Zheng, J., Moorhead, M., . . . Miklos, D. B. (2013). Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia. Nature Publishing Group.
শিকাগো স্টাইলে সাইটেশনLogan, A C., et al. Minimal Residual Disease Quantification Using Consensus Primers and High-throughput IGH Sequencing Predicts Post-transplant Relapse in Chronic Lymphocytic Leukemia. Nature Publishing Group, 2013.
এমএলএ সাইটেশনLogan, A C., et al. Minimal Residual Disease Quantification Using Consensus Primers and High-throughput IGH Sequencing Predicts Post-transplant Relapse in Chronic Lymphocytic Leukemia. Nature Publishing Group, 2013.