Ensemble of Template-Free and Template-Based Classifiers for Protein Secondary Structure Prediction
Protein secondary structures are important in many biological processes and applications. Due to advances in sequencing methods, there are many proteins sequenced, but fewer proteins with secondary structures defined by laboratory methods. With the development of computer technology, computational m...
Guardado en:
Autores principales: | Gabriel Bianchin de Oliveira, Helio Pedrini, Zanoni Dias |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f8d917ae423c40feba70fee97ddf59be |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes
por: Félix Tena, et al.
Publicado: (2021) -
Intelligent Ensemble Learning Approach for Phishing Website Detection Based on Weighted Soft Voting
por: Altyeb Taha
Publicado: (2021) -
Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification
por: Ronald Tombe, et al.
Publicado: (2021) -
Fuzzy Integral-Based Multi-Classifiers Ensemble for Android Malware Classification
por: Altyeb Taha, et al.
Publicado: (2021) -
Predicting and Interpreting Student Performance Using Ensemble Models and Shapley Additive Explanations
por: Hayat Sahlaoui, et al.
Publicado: (2021)