000041890 001__ 41890
000041890 005__ 20240124114339.0
000041890 0247_ $$2doi$$a10.6083/bpxhc41890
000041890 037__ $$aETD
000041890 041__ $$aeng
000041890 245__ $$aStatistical methods and machine learning techniques for analyzing high-dimensional data in cancer biology: modeling t-cell receptor repertoire and methylation signatures in acute myeloid leukemia
000041890 260__ $$bOregon Health and Science University
000041890 269__ $$a2023-09-13
000041890 336__ $$aDissertation
000041890 502__ $$bPh.D.
000041890 502__ $$gBiomedical Engineering
000041890 520__ $$aThis thesis is composed of two studies that utilizes different statistical methods to answer cancer research questions. The first study uses supervised and unsupervised statistical modeling on methylation array data from the BeatAML cohort to infer methylation signatures of AML. The second study presents a non-commercial and inexpensive protocol for measuring and monitoring adaptive dynamics in TCR clonotype repertoire using genomic DNA-based bulk sequencing.
000041890 540__ $$fCC BY
000041890 542__ $$fIn copyright - single owner
000041890 650__ $$aMethylation$$022181
000041890 650__ $$aReceptors, Antigen, T-Cell$$025184
000041890 650__ $$aMachine Learning$$011449
000041890 650__ $$aLeukemia, Myeloid, Acute$$028432
000041890 650__ $$aDNA Modification Methylases$$028262
000041890 650__ $$aData Analysis$$012923
000041890 6531_ $$amodeling t-cell receptor repertoire
000041890 6531_ $$amethylation signatures in aml
000041890 6531_ $$astatistical normalization
000041890 6531_ $$ahigh dimensional data analysis
000041890 691__ $$aSchool of Medicine$$041369
000041890 692__ $$aDepartment of Biomedical Engineering$$041397
000041890 7001_ $$aGurun-Demir, Burcu$$uOregon Health and Science University$$041354
000041890 7201_ $$aSpellman, Paul$$uOregon Health and Science University$$041354$$10000-0002-4810-0022$$eAdvisor$$7Personal
000041890 8564_ $$93481473d-1a30-450e-aabf-e5c9882c56f1$$s3805198$$uhttps://digitalcollections.ohsu.edu/record/41890/files/Gurun.Burcu.2023.pdf
000041890 909CO $$ooai:digitalcollections.ohsu.edu:41890$$pstudent-work
000041890 980__ $$aTheses and Dissertations
000041890 981__ $$aPublished$$b2023-09-13