A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice

Tanzila Islam, Chyon Hae Kim, Hiroyoshi Iwata, Hiroyuki Shimono, Akio Kimura, Hein Zaw, Chitra Raghavan, Hei Leung, Rakesh Kumar Singh. A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice. In Ronny Lorenz, Ana L. N. Fred, Hugo Gamboa, editors, Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, Volume 3: BIOINFORMATICS, Online Streaming, February 11-13, 2021. pages 101-109, SCITEPRESS, 2021.

@inproceedings{IslamKISKZRLS21,
  title = {A Deep Learning Method to Impute Missing Values and Compress Genome-ide Polymorphism Data in Rice},
  author = {Tanzila Islam and Chyon Hae Kim and Hiroyoshi Iwata and Hiroyuki Shimono and Akio Kimura and Hein Zaw and Chitra Raghavan and Hei Leung and Rakesh Kumar Singh},
  year = {2021},
  researchr = {https://researchr.org/publication/IslamKISKZRLS21},
  cites = {0},
  citedby = {0},
  pages = {101-109},
  booktitle = {Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, Volume 3: BIOINFORMATICS, Online Streaming, February 11-13, 2021},
  editor = {Ronny Lorenz and Ana L. N. Fred and Hugo Gamboa},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-490-9},
}