ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides

Leyi Wei, Chen Zhou, Huangrong Chen, Jiangning Song, Ran Su. ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides. Bioinformatics, 34(23):4007-4016, 2018. [doi]

@article{WeiZCSS18,
  title = {ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides},
  author = {Leyi Wei and Chen Zhou and Huangrong Chen and Jiangning Song and Ran Su},
  year = {2018},
  doi = {10.1093/bioinformatics/bty451},
  url = {https://doi.org/10.1093/bioinformatics/bty451},
  researchr = {https://researchr.org/publication/WeiZCSS18},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {34},
  number = {23},
  pages = {4007-4016},
}