Clinical Informatics for Precision Cancer Medicine: Computational Methods for Interpreting Individual Whole Exome and Transcriptome Tumor Sequence Data

Nathanael D. Moore, Brendan Reardon, Eliezer M. Van Allen. Clinical Informatics for Precision Cancer Medicine: Computational Methods for Interpreting Individual Whole Exome and Transcriptome Tumor Sequence Data. In AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, November 4-8, 2017. AMIA, 2017. [doi]

@inproceedings{MooreRA17,
  title = {Clinical Informatics for Precision Cancer Medicine: Computational Methods for Interpreting Individual Whole Exome and Transcriptome Tumor Sequence Data},
  author = {Nathanael D. Moore and Brendan Reardon and Eliezer M. Van Allen},
  year = {2017},
  url = {http://knowledge.amia.org/65881-amia-1.3897810/t004-1.3900473/f004-1.3900474/2727127-1.3900901/2730426-1.3900898},
  researchr = {https://researchr.org/publication/MooreRA17},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, November 4-8, 2017},
  publisher = {AMIA},
}