The kernel-weighted local polynomial regression (KwLPR) approach: an efficient, novel tool for development of QSAR/QSAAR toxicity extrapolation models

Agnieszka Gajewicz-Skretna, Supratik Kar, Magdalena Piotrowska, Jerzy Leszczynski. The kernel-weighted local polynomial regression (KwLPR) approach: an efficient, novel tool for development of QSAR/QSAAR toxicity extrapolation models. J. Cheminformatics, 13(1):9, 2021. [doi]

@article{Gajewicz-Skretna21,
  title = {The kernel-weighted local polynomial regression (KwLPR) approach: an efficient, novel tool for development of QSAR/QSAAR toxicity extrapolation models},
  author = {Agnieszka Gajewicz-Skretna and Supratik Kar and Magdalena Piotrowska and Jerzy Leszczynski},
  year = {2021},
  doi = {10.1186/s13321-021-00484-5},
  url = {https://doi.org/10.1186/s13321-021-00484-5},
  researchr = {https://researchr.org/publication/Gajewicz-Skretna21},
  cites = {0},
  citedby = {0},
  journal = {J. Cheminformatics},
  volume = {13},
  number = {1},
  pages = {9},
}