Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions

Yannis Pantazis, Christos Tselas, Kleanthi Lakiotaki, Vincenzo Lagani, Ioannis Tsamardinos. Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions. In Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang 0001, Julio C. Facelli, Seungyoon Nam, Mingon Kang, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. pages 2505-2512, IEEE, 2020. [doi]

@inproceedings{PantazisTLLT20,
  title = {Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions},
  author = {Yannis Pantazis and Christos Tselas and Kleanthi Lakiotaki and Vincenzo Lagani and Ioannis Tsamardinos},
  year = {2020},
  doi = {10.1109/BIBM49941.2020.9313286},
  url = {https://doi.org/10.1109/BIBM49941.2020.9313286},
  researchr = {https://researchr.org/publication/PantazisTLLT20},
  cites = {0},
  citedby = {0},
  pages = {2505-2512},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020},
  editor = {Taesung Park and Young-Rae Cho and Xiaohua Hu and Illhoi Yoo and Hyun Goo Woo and Jianxin Wang 0001 and Julio C. Facelli and Seungyoon Nam and Mingon Kang},
  publisher = {IEEE},
  isbn = {978-1-7281-6215-7},
}