In Silico Regression Modeling and Improved Interpretability To Predict the Transport Inhibitory Activity of Breast Cancer Resistance Protein
Kaoru Takadera et al · American Chemical Society · 2026
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APA 7
al, K. T. E. (2026). In Silico Regression Modeling and Improved Interpretability To Predict the Transport Inhibitory Activity of Breast Cancer Resistance Protein. https://doi.org/10.1021/acsomega.5c12191
MLA
al, Kaoru Takadera et. "In Silico Regression Modeling and Improved Interpretability To Predict the Transport Inhibitory Activity of Breast Cancer Resistance Protein." 2026. https://doi.org/10.1021/acsomega.5c12191.
Chicago
al, Kaoru Takadera et. 2026. "In Silico Regression Modeling and Improved Interpretability To Predict the Transport Inhibitory Activity of Breast Cancer Resistance Protein.". https://doi.org/10.1021/acsomega.5c12191.
Harvard
al, K. T. E. 2026, In Silico Regression Modeling and Improved Interpretability To Predict the Transport Inhibitory Activity of Breast Cancer Resistance Protein, American Chemical Society, available at: https://doi.org/10.1021/acsomega.5c12191 [Accessed 29 Jun. 2026].
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- Título
- In Silico Regression Modeling and Improved Interpretability To Predict the Transport Inhibitory Activity of Breast Cancer Resistance Protein
- Autor / colaboradores
- Kaoru Takadera et al
- Editorial
- American Chemical Society
- Año de publicación
- 2026
- ISSN
- 2470-1343
- ISSN
- 2470-1343
- Idioma
- eng