Cargando…
Predicting cancerlectins by the optimal g-gap dipeptides
The cancerlectin plays a key role in the process of tumor cell differentiation. Thus, to fully understand the function of cancerlectin is significant because it sheds light on the future direction for the cancer therapy. However, the traditional wet-experimental methods were money- and time-consumin...
Autores principales: | Lin, Hao, Liu, Wei-Xin, He, Jiao, Liu, Xin-Hui, Ding, Hui, Chen, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673586/ https://www.ncbi.nlm.nih.gov/pubmed/26648527 http://dx.doi.org/10.1038/srep16964 |
Ejemplares similares
-
Identification of Cancerlectins Using Support Vector Machines With Fusion of G-Gap Dipeptide
por: Qian, Lili, et al.
Publicado: (2020) -
Sequence-based predictive modeling to identify cancerlectins
por: Lai, Hong-Yan, et al.
Publicado: (2017) -
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) -
A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique
por: Yang, Runtao, et al.
Publicado: (2018)