Revisiting the LSER Approach in the Era of Machine Learning: Insights from IAM Chromatography
- DOI
- 10.1021/acs.molpharmaceut.6c00381
- Published
- 2026-08-05
- Container
- Molecular Pharmaceutics
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.molpharmaceut.6c00381,
title = {Revisiting
the LSER Approach in the Era of Machine
Learning: Insights from IAM Chromatography},
author = {Wiktor Nisterenko and Katarzyna Ewa Greber and Magdalena Kierkowicz and Krzesimir Ciura},
year = {2026},
journal = {Molecular Pharmaceutics},
doi = {10.1021/acs.molpharmaceut.6c00381},
url = {https://doi.org/10.1021/acs.molpharmaceut.6c00381}
}RIS
TY - JOUR TI - Revisiting the LSER Approach in the Era of Machine Learning: Insights from IAM Chromatography AU - Wiktor Nisterenko AU - Katarzyna Ewa Greber AU - Magdalena Kierkowicz AU - Krzesimir Ciura PY - 2026 JO - Molecular Pharmaceutics DO - 10.1021/acs.molpharmaceut.6c00381 UR - https://doi.org/10.1021/acs.molpharmaceut.6c00381 ER -
APA
Nisterenko, W., Greber, K. E., Kierkowicz, M., & Ciura, K. (2026). Revisiting the LSER Approach in the Era of Machine Learning: Insights from IAM Chromatography. Molecular Pharmaceutics. https://doi.org/10.1021/acs.molpharmaceut.6c00381
Source records
- crossref · retrieved 2026-09-26T00:17:29.753Z