TY  - GEN
N2  - 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. 
DO  - 10.6083/bpxhc43707
DO  - doi
AB  - 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. 
AD  - Oregon Health and Science University
T1  - A novel computational framework for analyzing single-cell transcriptomics data: applications to T cell exhaustion and cancer immunotherapy response
ED  - Moran, Amy
ED  - Adey, Andrew
ED  - McWeeney, Shannon
ED  - Wong, Melissa
ED  - Wu, Guanming
ED  - Committee member
ED  - Chair
ED  - Committee member
ED  - Committee member
ED  - Advisor
DA  - 2024-09-18
AU  - Klocke, Christopher
L1  - https://digitalcollections.ohsu.edu/record/43707/files/fairusechecklist_dissertation.pdf
L1  - https://digitalcollections.ohsu.edu/record/43707/files/Klocke.Christopher.2024.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2024-09-18
ID  - 43707
L4  - https://digitalcollections.ohsu.edu/record/43707/files/fairusechecklist_dissertation.pdf
L4  - https://digitalcollections.ohsu.edu/record/43707/files/Klocke.Christopher.2024.pdf
KW  - T-Cell Exhaustion
KW  - Immunotherapy
KW  - Computational Biology
KW  - single-cell RNA-seq
KW  - cancer
KW  - treatment resistance
TI  - A novel computational framework for analyzing single-cell transcriptomics data: applications to T cell exhaustion and cancer immunotherapy response
Y1  - 2024-09-18
L2  - https://digitalcollections.ohsu.edu/record/43707/files/fairusechecklist_dissertation.pdf
L2  - https://digitalcollections.ohsu.edu/record/43707/files/Klocke.Christopher.2024.pdf
LK  - https://digitalcollections.ohsu.edu/record/43707/files/fairusechecklist_dissertation.pdf
LK  - https://digitalcollections.ohsu.edu/record/43707/files/Klocke.Christopher.2024.pdf
UR  - https://digitalcollections.ohsu.edu/record/43707/files/fairusechecklist_dissertation.pdf
UR  - https://digitalcollections.ohsu.edu/record/43707/files/Klocke.Christopher.2024.pdf
ER  -