AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree

Adnan Khan, Jamal Uddin, Farman Ali, Harish Kumar, Wajdi Alghamdi, Aftab Ahmad. AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. Journal of Chemical Information and Computer Sciences, 63(3):826-834, February 2023. [doi]

@article{KhanUAKAA23,
  title = {AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree},
  author = {Adnan Khan and Jamal Uddin and Farman Ali and Harish Kumar and Wajdi Alghamdi and Aftab Ahmad},
  year = {2023},
  month = {February},
  doi = {10.1021/acs.jcim.2c01417},
  url = {https://doi.org/10.1021/acs.jcim.2c01417},
  researchr = {https://researchr.org/publication/KhanUAKAA23},
  cites = {0},
  citedby = {0},
  journal = {Journal of Chemical Information and Computer Sciences},
  volume = {63},
  number = {3},
  pages = {826-834},
}