Using Recursive Feature Selection with Random Forest to Improve Protein Structural Class Prediction for Low-Similarity Sequences

Many combinations of protein features are used to improve protein structural class prediction, but the information redundancy is often ignored. In order to select the important features with strong classification ability, we proposed a recursive feature selection with random forest to improve protei...

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Detalles Bibliográficos
Autores principales: Wang, Yaoxin, Xu, Yingjie, Yang, Zhenyu, Liu, Xiaoqing, Dai, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123985/
https://www.ncbi.nlm.nih.gov/pubmed/34055035
http://dx.doi.org/10.1155/2021/5529389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123985/
https://www.ncbi.nlm.nih.gov/pubmed/34055035
http://dx.doi.org/10.1155/2021/5529389

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