Cargando…
Identification of DNA-Binding Proteins Using Support Vector Machine with Sequence Information
DNA-binding proteins are fundamentally important in understanding cellular processes. Thus, the identification of DNA-binding proteins has the particularly important practical application in various fields, such as drug design. We have proposed a novel approach method for predicting DNA-binding prot...
Autores principales: | Ma, Xin, Wu, Jiansheng, Xue, Xiaoyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787635/ https://www.ncbi.nlm.nih.gov/pubmed/24151525 http://dx.doi.org/10.1155/2013/524502 |
Ejemplares similares
-
Identification of DNA-binding proteins using support vector machines and evolutionary profiles
por: Kumar, Manish, et al.
Publicado: (2007) -
Identification of Penicillin-binding proteins employing support vector machines and random forest
por: Nair, Vinay, et al.
Publicado: (2013) -
Prediction of Carbohydrate-Binding Proteins from Sequences Using Support Vector Machines
por: Someya, Seizi, et al.
Publicado: (2010) -
Predicting RNA-binding sites of proteins using support vector machines and evolutionary information
por: Cheng, Cheng-Wei, et al.
Publicado: (2008) -
Prediction of DNA-binding protein based on statistical and geometric features and support vector machines
por: Zhou, Weiqiang, et al.
Publicado: (2011)