Cargando…
Machine-learning-based predictions of imprinting quality using ensemble and non-linear regression algorithms
The molecularly imprinted polymers are artificial polymers that, during the synthesis, create specific sites for a definite purpose. These polymers due to their characteristics such as stability, easy of synthesis, reproducibility, reusability, high accuracy, and selectivity have many applications....
Autores principales: | Yarahmadi, Bita, Hashemianzadeh, Seyed Majid, Milani Hosseini, Seyed Mohammad-Reza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372080/ https://www.ncbi.nlm.nih.gov/pubmed/37495673 http://dx.doi.org/10.1038/s41598-023-39374-1 |
Ejemplares similares
-
A new approach to prediction riboflavin absorbance using imprinted polymer and ensemble machine learning algorithms
por: Yarahmadi, Bita, et al.
Publicado: (2023) -
EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer
por: Mirsadeghi, Leila, et al.
Publicado: (2021) -
A Molecular Study on Drug Delivery System Based on Carbon Nanotube Compared to Silicon Carbide Nanotube for Encapsulation of Platinum-Based Anticancer Drug
por: Khatti, Zahra, et al.
Publicado: (2018) -
Mathematical algorithms for linear regression
por: Späth, Helmuth, et al.
Publicado: (1991) -
Prediction of successful aging using ensemble machine learning algorithms
por: Asghari Varzaneh, Zahra, et al.
Publicado: (2022)