Evaluation of using WGS/WES to characterize ACMG actionable genes in genetic testing reports

Wen-Tse Yang, Dong-Chi Wu, Jen-Feng Liu, Jin-Bon Hong, June-Tai Wu, Pei-Lung Chen, Chien-Yu Chen 0001. Evaluation of using WGS/WES to characterize ACMG actionable genes in genetic testing reports. In Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021. pages 1691-1693, IEEE, 2021. [doi]

@inproceedings{YangWLHWC021,
  title = {Evaluation of using WGS/WES to characterize ACMG actionable genes in genetic testing reports},
  author = {Wen-Tse Yang and Dong-Chi Wu and Jen-Feng Liu and Jin-Bon Hong and June-Tai Wu and Pei-Lung Chen and Chien-Yu Chen 0001},
  year = {2021},
  doi = {10.1109/BIBM52615.2021.9669752},
  url = {https://doi.org/10.1109/BIBM52615.2021.9669752},
  researchr = {https://researchr.org/publication/YangWLHWC021},
  cites = {0},
  citedby = {0},
  pages = {1691-1693},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021},
  editor = {Yufei Huang and Lukasz A. Kurgan and Feng Luo and Xiaohua Hu and Yidong Chen and Edward R. Dougherty and Andrzej Kloczkowski and Yaohang Li},
  publisher = {IEEE},
  isbn = {978-1-6654-0126-5},
}