Kobayashi, Y., Kakimi, K., Nagaoka, K., Hosoi, A., Fujita, M., Shirai, M., . . . Nomura, S. Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy. BMJ Publishing Group.
Chicago Style (17th ed.) CitationKobayashi, Yukari, et al. Deep Immunophenotyping at the Single-cell Level Identifies a Combination of Anti-IL-17 and Checkpoint Blockade as an Effective Treatment in a Preclinical Model of Data-guided Personalized Immunotherapy. BMJ Publishing Group.
MLA (9th ed.) CitationKobayashi, Yukari, et al. Deep Immunophenotyping at the Single-cell Level Identifies a Combination of Anti-IL-17 and Checkpoint Blockade as an Effective Treatment in a Preclinical Model of Data-guided Personalized Immunotherapy. BMJ Publishing Group.