@article{ETD,
      school = {Ph.D.},
      author = {Gurun-Demir, Burcu},
      url = {http://digitalcollections.ohsu.edu/record/41890},
      title = {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},
      publisher = {Oregon Health and Science University},
      abstract = {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.},
      number = {ETD},
      doi = {https://doi.org/10.6083/bpxhc41890},
      recid = {41890},
      address = {2023-09-13},
}