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CAMS-RS: Clustering Algorithm for Large-Scale Mass Spectrometry Data Using Restricted Search Space and Intelligent Random Sampling

High-throughput mass spectrometers can produce massive amounts of redundant data at an astonishing rate with many of them having poor signal-to-noise (S/N) ratio. These low S/N ratio spectra may not get interpreted using conventional spectra-to-database matching techniques. In this paper, we present...

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Detalles Bibliográficos
Publicado en:IEEE/ACM Trans Comput Biol Bioinform
Autores principales: Saeed, Fahad, Hoffert, Jason D., Knepper, Mark A.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2014
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6143137/
https://ncbi.nlm.nih.gov/pubmed/26355513
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2013.152
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