@article{ETD,
      recid = {8743},
      author = {Egger, Julian},
      title = {Network-based alternative splicing signatures of drug  response in AML},
      publisher = {Oregon Health and Science University},
      school = {Ph.D.},
      address = {2020},
      number = {ETD},
      abstract = {Contributing to proteomic diversity, alternative splicing  of pre-mRNA is widespread in the human transcriptome and  can greatly influence regulation of both normal and  disease-related cellular phenotypes. Similar to gene  expression, alternative splicing does not occur  independently, but in a coordinated fashion throughout the  transcriptome in order to maintain proper cellular  function. Gene co-expression networks have been widely used  as an approach to elucidate coordinated regulatory patterns  of gene transcription. Studies have shown that genome-wide  expression can occur in the form of network modules  consisting of highly co-expressed genes operating within  specific cellular pathways. Such modules are often  well-preserved across similar biological systems and  associated with various phenotypes. Here we demonstrate a  framework for de novo network inference of co-splicing in  the form of modules consisting of complex alternative  splicing variants.},
      url = {http://digitalcollections.ohsu.edu/record/8743},
      doi = {https://doi.org/10.6083/5h73pw81c},
}