TY  - GEN
N2  - This thesis is composed of two studies that utilizes different statistical methods to answer cancer research questions. The first study uses supervised and unsupervised statistical modeling on methylation array data from the BeatAML cohort to infer methylation signatures of AML. The second study presents a non-commercial and inexpensive protocol for measuring and monitoring adaptive dynamics in TCR clonotype repertoire using genomic DNA-based bulk sequencing.
DO  - 10.6083/bpxhc41890
DO  - doi
AB  - This thesis is composed of two studies that utilizes different statistical methods to answer cancer research questions. The first study uses supervised and unsupervised statistical modeling on methylation array data from the BeatAML cohort to infer methylation signatures of AML. The second study presents a non-commercial and inexpensive protocol for measuring and monitoring adaptive dynamics in TCR clonotype repertoire using genomic DNA-based bulk sequencing.
AD  - Oregon Health and Science University
T1  - Statistical methods and machine learning techniques for analyzing high-dimensional data in cancer biology: modeling t-cell receptor repertoire and methylation signatures in acute myeloid leukemia
ED  - Spellman, Paul
ED  - Advisor
DA  - 2023-09-13
AU  - Gurun-Demir, Burcu
L1  - https://digitalcollections.ohsu.edu/record/41890/files/Gurun.Burcu.2023.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2023-09-13
ID  - 41890
L4  - https://digitalcollections.ohsu.edu/record/41890/files/Gurun.Burcu.2023.pdf
KW  - Methylation
KW  - Receptors, Antigen, T-Cell
KW  - Machine Learning
KW  - Leukemia, Myeloid, Acute
KW  - DNA Modification Methylases
KW  - Data Analysis
KW  - modeling t-cell receptor repertoire
KW  - methylation signatures in aml
KW  - statistical normalization
KW  - high dimensional data analysis
TI  - Statistical methods and machine learning techniques for analyzing high-dimensional data in cancer biology: modeling t-cell receptor repertoire and methylation signatures in acute myeloid leukemia
Y1  - 2023-09-13
L2  - https://digitalcollections.ohsu.edu/record/41890/files/Gurun.Burcu.2023.pdf
LK  - https://digitalcollections.ohsu.edu/record/41890/files/Gurun.Burcu.2023.pdf
UR  - https://digitalcollections.ohsu.edu/record/41890/files/Gurun.Burcu.2023.pdf
ER  -