Cargando…
PSBP-SVM: A Machine Learning-Based Computational Identifier for Predicting Polystyrene Binding Peptides
Polystyrene binding peptides (PSBPs) play a key role in the immobilization process. The correct identification of PSBPs is the first step of all related works. In this paper, we proposed a novel support vector machine-based bioinformatic identification model. This model contains four machine learnin...
Autores principales: | Meng, Chaolu, Hu, Yang, Zhang, Ying, Guo, Fei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7137786/ https://www.ncbi.nlm.nih.gov/pubmed/32296690 http://dx.doi.org/10.3389/fbioe.2020.00245 |
Ejemplares similares
-
AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine
por: Meng, Chaolu, et al.
Publicado: (2019) -
Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers
por: Dias-Audibert, Flávia Luísa, et al.
Publicado: (2020) -
Identifying In Vitro Cultured Human Hepatocytes Markers with Machine Learning Methods Based on Single-Cell RNA-Seq Data
por: Li, ZhanDong, et al.
Publicado: (2022) -
Metabolic Modeling Combined With Machine Learning Integrates Longitudinal Data and Identifies the Origin of LXR-Induced Hepatic Steatosis
por: van Riel, Natal A. W., et al.
Publicado: (2021) -
An Optimization Algorithm for Computer-Aided Diagnosis of Breast Cancer Based on Support Vector Machine
por: Dou, Yifeng, et al.
Publicado: (2021)