Cargando…
MS-kNN: protein function prediction by integrating multiple data sources
BACKGROUND: Protein function determination is a key challenge in the post-genomic era. Experimental determination of protein functions is accurate, but time-consuming and resource-intensive. A cost-effective alternative is to use the known information about sequence, structure, and functional proper...
Autores principales: | Lan, Liang, Djuric, Nemanja, Guo, Yuhong, Vucetic, Slobodan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584913/ https://www.ncbi.nlm.nih.gov/pubmed/23514608 http://dx.doi.org/10.1186/1471-2105-14-S3-S8 |
Ejemplares similares
-
Multi-task feature selection in microarray data by binary integer programming
por: Lan, Liang, et al.
Publicado: (2013) -
QA-kNN: Indoor Localization Based on Quartile Analysis and the kNN Classifier for Wireless Networks
por: Ferreira, David, et al.
Publicado: (2020) -
GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
por: Arefin, Ahmed Shamsul, et al.
Publicado: (2012) -
Compressed kNN: K-Nearest Neighbors with Data Compression
por: Salvador–Meneses, Jaime, et al.
Publicado: (2019) -
Ensemble of a subset of kNN classifiers
por: Gul, Asma, et al.
Publicado: (2016)