Cargando…
Predicting Subcellular Localization of Apoptosis Proteins Combining GO Features of Homologous Proteins and Distance Weighted KNN Classifier
Apoptosis proteins play a key role in maintaining the stability of organism; the functions of apoptosis proteins are related to their subcellular locations which are used to understand the mechanism of programmed cell death. In this paper, we utilize GO annotation information of apoptosis proteins a...
Autores principales: | Wang, Xiao, Li, Hui, Zhang, Qiuwen, Wang, Rong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4860209/ https://www.ncbi.nlm.nih.gov/pubmed/27213149 http://dx.doi.org/10.1155/2016/1793272 |
Ejemplares similares
-
QA-kNN: Indoor Localization Based on Quartile Analysis and the kNN Classifier for Wireless Networks
por: Ferreira, David, et al.
Publicado: (2020) -
Ensemble of a subset of kNN classifiers
por: Gul, Asma, et al.
Publicado: (2016) -
MultiP-Apo: A Multilabel Predictor for Identifying Subcellular Locations of Apoptosis Proteins
por: Wang, Xiao, et al.
Publicado: (2017) -
BS-KNN: An Effective Algorithm for Predicting Protein Subchloroplast Localization
por: Hu, Jing, et al.
Publicado: (2012) -
Human Protein Subcellular Localization with Integrated Source and Multi-label Ensemble Classifier
por: Guo, Xiaotong, et al.
Publicado: (2016)