Cargando…
Peak picking NMR spectral data using non-negative matrix factorization
BACKGROUND: Simple peak-picking algorithms, such as those based on lineshape fitting, perform well when peaks are completely resolved in multidimensional NMR spectra, but often produce wrong intensities and frequencies for overlapping peak clusters. For example, NOESY-type spectra have considerable...
Autores principales: | Tikole, Suhas, Jaravine, Victor, Rogov, Vladimir, Dötsch, Volker, Güntert, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3931316/ https://www.ncbi.nlm.nih.gov/pubmed/24511909 http://dx.doi.org/10.1186/1471-2105-15-46 |
Ejemplares similares
-
Effects of NMR Spectral Resolution on Protein Structure Calculation
por: Tikole, Suhas, et al.
Publicado: (2013) -
Bayesian Peak Picking for NMR Spectra
por: Cheng, Yichen, et al.
Publicado: (2014) -
The non-negative matrix factorization toolbox for biological data mining
por: Li, Yifeng, et al.
Publicado: (2013) -
PICKY: a novel SVD-based NMR spectra peak picking method
por: Alipanahi, Babak, et al.
Publicado: (2009) -
Fundamental and practical aspects of machine learning for the peak picking of biomolecular NMR spectra
por: Li, Da-Wei, et al.
Publicado: (2022)