Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics
Gao et al. report DreamDIAXMBD, a deep learning-based tool, that can extract and score chromatogram features, improving the performance of peptide-centric DIA data analysis. In contrast to the existing tools, DreamDIAXMBD demonstrates higher numbers of precursor identifications and accurate quantifi...
-д хадгалсан:
| Үндсэн зохиолчид: | , , , , , , , , , |
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| Формат: | Artigo |
| Хэл сонгох: | Inglês |
| Хэвлэсэн: |
Nature Portfolio
2021-10-01
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| Цуврал: | Communications Biology |
| Онлайн хандалт: | https://doi.org/10.1038/s42003-021-02726-6 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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