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Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning
Deep learning models for prediction of three key LC-MS/MS properties from peptide sequences were developed. The LC-MS/MS properties or behaviors are indexed retention times (iRT), MS1 or survey scan charge state distributions, and sequence ion intensities of HCD spectra. A common core deep supervise...
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| Publicado no: | Mol Cell Proteomics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The American Society for Biochemistry and Molecular Biology
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6773555/ https://ncbi.nlm.nih.gov/pubmed/31249099 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1074/mcp.TIR119.001412 |
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