Cargando…
EnSVMB: Metagenomics Fragments Classification using Ensemble SVM and BLAST
Metagenomics brings in new discoveries and insights into the uncultured microbial world. One fundamental task in metagenomics analysis is to determine the taxonomy of raw sequence fragments. Modern sequencing technologies produce relatively short fragments and greatly increase the number of fragment...
Autores principales: | Jiang, Yuan, Wang, Jun, Xia, Dawen, Yu, Guoxian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573435/ https://www.ncbi.nlm.nih.gov/pubmed/28842700 http://dx.doi.org/10.1038/s41598-017-09947-y |
Ejemplares similares
-
Gene prediction in metagenomic fragments based on the SVM algorithm
por: Liu, Yongchu, et al.
Publicado: (2013) -
SVM and SVM Ensembles in Breast Cancer Prediction
por: Huang, Min-Wei, et al.
Publicado: (2017) -
The Classification of Rice Blast Resistant Seed Based on Ranman Spectroscopy and SVM
por: He, Yan, et al.
Publicado: (2022) -
Alignment-free supervised classification of metagenomes by recursive SVM
por: Cui, Hongfei, et al.
Publicado: (2013) -
Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification
por: Klikowski, Jakub, et al.
Publicado: (2020)