Cargando…
Identification of DNA-Binding Proteins Using Mixed Feature Representation Methods
DNA-binding proteins play vital roles in cellular processes, such as DNA packaging, replication, transcription, regulation, and other DNA-associated activities. The current main prediction method is based on machine learning, and its accuracy mainly depends on the features extraction method. Therefo...
Autores principales: | Qu, Kaiyang, Han, Ke, Wu, Song, Wang, Guohua, Wei, Leyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151557/ https://www.ncbi.nlm.nih.gov/pubmed/28937647 http://dx.doi.org/10.3390/molecules22101602 |
Ejemplares similares
-
Identifying Plant Pentatricopeptide Repeat Coding Gene/Protein Using Mixed Feature Extraction Methods
por: Qu, Kaiyang, et al.
Publicado: (2019) -
Comparative Analysis on Alignment-Based and Pretrained Feature Representations for the Identification of DNA-Binding Proteins
por: Chen, Die, et al.
Publicado: (2022) -
Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion
por: Lu, Weizhong, et al.
Publicado: (2022) -
Protein Sequence Comparison and DNA-binding Protein Identification with Generalized PseAAC and Graphical Representation
por: Li, Chun, et al.
Publicado: (2018) -
Electrocardiogram-Based Biometric Identification Using Mixed Feature Extraction and Sparse Representation
por: Zhang, Xu, et al.
Publicado: (2023)