PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification

Sarwan Ali, Taslim Murad, Murray Patterson. PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification. In Mohammad Tanveer 0001, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors, Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII. Volume 1794 of Communications in Computer and Information Science, pages 420-432, Springer, 2022. [doi]

@inproceedings{AliMP22-0,
  title = {PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification},
  author = {Sarwan Ali and Taslim Murad and Murray Patterson},
  year = {2022},
  doi = {10.1007/978-981-99-1648-1_35},
  url = {https://doi.org/10.1007/978-981-99-1648-1_35},
  researchr = {https://researchr.org/publication/AliMP22-0},
  cites = {0},
  citedby = {0},
  pages = {420-432},
  booktitle = {Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII},
  editor = {Mohammad Tanveer 0001 and Sonali Agarwal and Seiichi Ozawa and Asif Ekbal and Adam Jatowt},
  volume = {1794},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-99-1648-1},
}