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Enhancing Top-Down Proteomics Data Analysis by Combining Deconvolution Results through a Machine Learning Strategy
Top-down mass spectrometry (MS) is a powerful tool for identification and comprehensive characterization of proteoforms arising from alternative splicing, sequence variation, and post-translational modifications. However, the complex dataset generated from top-down MS experiments requires multiple s...
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| Publicado no: | J Am Soc Mass Spectrom |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7909725/ https://ncbi.nlm.nih.gov/pubmed/32223200 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/jasms.0c00035 |
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