Cargando…
Sequence-based predictive modeling to identify cancerlectins
Lectins are a diverse type of glycoproteins or carbohydrate-binding proteins that have a wide distribution to various species. They can specially identify and exclusively bind to a certain kind of saccharide groups. Cancerlectins are a group of lectins that are closely related to cancer and play a m...
Autores principales: | Lai, Hong-Yan, Chen, Xin-Xin, Chen, Wei, Tang, Hua, Lin, Hao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438640/ https://www.ncbi.nlm.nih.gov/pubmed/28423655 http://dx.doi.org/10.18632/oncotarget.15963 |
Ejemplares similares
-
Predicting cancerlectins by the optimal g-gap dipeptides
por: Lin, Hao, et al.
Publicado: (2015) -
Analysis and prediction of cancerlectins using evolutionary and domain information
por: Kumar, Ravi, et al.
Publicado: (2011) -
Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology
por: Zhang, Jieru, et al.
Publicado: (2016) -
Identification of Cancerlectins Using Support Vector Machines With Fusion of G-Gap Dipeptide
por: Qian, Lili, et al.
Publicado: (2020) -
A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique
por: Yang, Runtao, et al.
Publicado: (2018)