Cargando…
A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks
Protein-protein interaction (PPI) prediction is generally treated as a problem of binary classification wherein negative data sampling is still an open problem to be addressed. The commonly used random sampling is prone to yield less representative negative data with considerable false negatives. Me...
Autores principales: | Mei, Suyu, Zhu, Hao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379509/ https://www.ncbi.nlm.nih.gov/pubmed/25620466 http://dx.doi.org/10.1038/srep08034 |
Ejemplares similares
-
Computational reconstruction of proteome-wide protein interaction networks between HTLV retroviruses and Homo sapiens
por: Mei, Suyu, et al.
Publicado: (2014) -
Neglog: Homology-Based Negative Data Sampling Method for Genome-Scale Reconstruction of Human Protein–Protein Interaction Networks
por: Mei, Suyu, et al.
Publicado: (2019) -
AdaBoost Based Multi-Instance Transfer Learning for Predicting Proteome-Wide Interactions between Salmonella and Human Proteins
por: Mei, Suyu, et al.
Publicado: (2014) -
Detection of atypical genes in virus families using a one-class SVM
por: Metzler, Saskia, et al.
Publicado: (2014) -
Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification
por: Klikowski, Jakub, et al.
Publicado: (2020)