@article{ETD,
      school = {Ph.D.},
      author = {Klocke, Christopher},
      url = {http://digitalcollections.ohsu.edu/record/43707},
      title = {A novel computational framework for analyzing single-cell  transcriptomics data: applications to T cell exhaustion and  cancer immunotherapy response},
      publisher = {Oregon Health and Science University},
      abstract = {This novel computational framework for the analysis of  single-cell gene expression data from human tumor samples  enables the identification of molecular activity associated  with CD8 T cell exhaustion across multiple cell types. It  also provides the capability to consider these changes in  the context of immunotherapy response. Its application  yielded new insights into potential mechanisms of  resistance to immune checkpoint inhibitor therapies in  cancer patients. },
      number = {ETD},
      doi = {https://doi.org/10.6083/bpxhc43707},
      recid = {43707},
      address = {2024-09-18},
}