TY  - GEN
N2  - This dissertation quantitatively assesses the single-cell spatial landscape of the tumor microenvironment for three cancer types. Statistical and machine learning approaches were used to identify candidate biomarkers of various clinical parameters, which can be leveraged to improve treatment strategies for future cancer patients. Importantly, the computational methods used here are widely applicable regardless of tissue type, and they provide a framework for future quantitative assessments of biological datasets resulting from any multiplex tissue imaging assay.
AB  - This dissertation quantitatively assesses the single-cell spatial landscape of the tumor microenvironment for three cancer types. Statistical and machine learning approaches were used to identify candidate biomarkers of various clinical parameters, which can be leveraged to improve treatment strategies for future cancer patients. Importantly, the computational methods used here are widely applicable regardless of tissue type, and they provide a framework for future quantitative assessments of biological datasets resulting from any multiplex tissue imaging assay.
AD  - Oregon Health and Science University
T1  - Quantifying the single-cell spatial landscape of cancer
DA  - 2024-03-22
AU  - Blise, Katie
L1  - https://digitalcollections.ohsu.edu/record/42771/files/Blise.Katie.2024.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2024-03-22
ID  - 42771
L4  - https://digitalcollections.ohsu.edu/record/42771/files/Blise.Katie.2024.pdf
KW  - Tumor Microenvironment
KW  - Machine Learning
KW  - Single-Cell Analysis
KW  - Spatial Analysis
KW  - Breast Neoplasms
KW  - Squamous Cell Carcinoma of Head and Neck
KW  - spatial proteomics
KW  - multiplex immunohistochemistry
KW  - breast cancer
KW  - pancreatic ductal adenocarcinoma
TI  - Quantifying the single-cell spatial landscape of cancer
Y1  - 2024-03-22
L2  - https://digitalcollections.ohsu.edu/record/42771/files/Blise.Katie.2024.pdf
LK  - https://digitalcollections.ohsu.edu/record/42771/files/Blise.Katie.2024.pdf
UR  - https://digitalcollections.ohsu.edu/record/42771/files/Blise.Katie.2024.pdf
ER  -