Cargando…
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
The exploration of DNA-binding proteins (DBPs) is an important aspect of studying biological life activities. Research on life activities requires the support of scientific research results on DBPs. The decline in many life activities is closely related to DBPs. Generally, the detection method for i...
Autores principales: | Zhao, Ziye, Yang, Wen, Zhai, Yixiao, Liang, Yingjian, Zhao, Yuming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837382/ https://www.ncbi.nlm.nih.gov/pubmed/35154264 http://dx.doi.org/10.3389/fgene.2021.821996 |
Ejemplares similares
-
Clinical Prediction of Heart Failure in Hemodialysis Patients: Based on the Extreme Gradient Boosting Method
por: Wang, Yanfeng, et al.
Publicado: (2022) -
PredPRBA: Prediction of Protein-RNA Binding Affinity Using Gradient Boosted Regression Trees
por: Deng, Lei, et al.
Publicado: (2019) -
SXGBsite: Prediction of Protein–Ligand Binding Sites Using Sequence Information and Extreme Gradient Boosting
por: Zhao, Ziqi, et al.
Publicado: (2019) -
ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree
por: Li, Yanjuan, et al.
Publicado: (2023) -
Random forests algorithm boosts genetic risk prediction of systemic lupus erythematosus
por: Ma, Wen, et al.
Publicado: (2022)