SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks

Jaspreet Singh, Jaswinder Singh, Kuldip K. Paliwal, Andrew Busch, Yaoqi Zhou. SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks. In Jennifer Hallinan, Madhu Chetty, Gonzalo Ruz Heredia, Adrian Shatte, Suryani Lim, editors, IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2021, Melbourne, Australia, October 13-15, 2021. pages 1-7, IEEE, 2021. [doi]

@inproceedings{SinghSPBZ21,
  title = {SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks},
  author = {Jaspreet Singh and Jaswinder Singh and Kuldip K. Paliwal and Andrew Busch and Yaoqi Zhou},
  year = {2021},
  doi = {10.1109/CIBCB49929.2021.9562849},
  url = {https://doi.org/10.1109/CIBCB49929.2021.9562849},
  researchr = {https://researchr.org/publication/SinghSPBZ21},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2021, Melbourne, Australia, October 13-15, 2021},
  editor = {Jennifer Hallinan and Madhu Chetty and Gonzalo Ruz Heredia and Adrian Shatte and Suryani Lim},
  publisher = {IEEE},
  isbn = {978-1-6654-0112-8},
}