Pre-SCNAClonal: Efficient GC bias correction for SCNA based tumor subclonal populations inferring

Yan-Shuo Chu, Mingxiang Teng, Zhenxing Wang, Yongtian Wang, Yadong Wang. Pre-SCNAClonal: Efficient GC bias correction for SCNA based tumor subclonal populations inferring. In Xiaohua Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Yang Gong, Dmitry Korkin, Illhoi Yoo, Jane Huiru Zheng, editors, 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017. pages 262-265, IEEE Computer Society, 2017. [doi]

@inproceedings{ChuTWWW17,
  title = {Pre-SCNAClonal: Efficient GC bias correction for SCNA based tumor subclonal populations inferring},
  author = {Yan-Shuo Chu and Mingxiang Teng and Zhenxing Wang and Yongtian Wang and Yadong Wang},
  year = {2017},
  doi = {10.1109/BIBM.2017.8217660},
  url = {http://doi.ieeecomputersociety.org/10.1109/BIBM.2017.8217660},
  researchr = {https://researchr.org/publication/ChuTWWW17},
  cites = {0},
  citedby = {0},
  pages = {262-265},
  booktitle = {2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017},
  editor = {Xiaohua Hu and Chi-Ren Shyu and Yana Bromberg and Jean Gao and Yang Gong and Dmitry Korkin and Illhoi Yoo and Jane Huiru Zheng},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5090-3050-7},
}