Familywise Feature Importance Stability in Chemical and Materials Machine Learning.

Lai R, Liu X, Wang Y, Rignanese GM, Li WX

DOI: 10.1021/acs.jcim.6c00893
Published: 2026 Jul 27
Container: Journal of chemical information and modeling
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.6c00893,
  title = {Familywise Feature Importance Stability in Chemical and Materials Machine Learning.},
  author = {Lai R and Liu X and Wang Y and Rignanese GM and Li WX},
  year = {2026},
  journal = {Journal of chemical information and modeling},
  doi = {10.1021/acs.jcim.6c00893},
  url = {https://doi.org/10.1021/acs.jcim.6c00893}
}

RIS

TY  - JOUR
TI  - Familywise Feature Importance Stability in Chemical and Materials Machine Learning.
AU  - Lai R
AU  - Liu X
AU  - Wang Y
AU  - Rignanese GM
AU  - Li WX
PY  - 2026
JO  - Journal of chemical information and modeling
DO  - 10.1021/acs.jcim.6c00893
UR  - https://doi.org/10.1021/acs.jcim.6c00893
ER  -

APA

R, L., X, L., Y, W., GM, R., & WX, L. (2026). Familywise Feature Importance Stability in Chemical and Materials Machine Learning.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.6c00893

Source records

pubmed · retrieved 2026-09-25T12:30:45.720Z