Deep representation features from DreamDIA(XMBD) improve the analysis of data-independent acquisition proteomics

We developed DreamDIA(XMBD) (denoted as DreamDIA), a software suite based on a deep representation model for data-independent acquisition (DIA) data analysis. DreamDIA adopts a data-driven strategy to capture comprehensive information from elution patterns of peptides in DIA data and achieves consid...

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Detalles Bibliográficos
Autores principales: Gao, Mingxuan, Yang, Wenxian, Li, Chenxin, Chang, Yuqing, Liu, Yachen, He, Qingzu, Zhong, Chuan-Qi, Shuai, Jianwei, Yu, Rongshan, Han, Jiahuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517002/
https://www.ncbi.nlm.nih.gov/pubmed/34650228
http://dx.doi.org/10.1038/s42003-021-02726-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517002/
https://www.ncbi.nlm.nih.gov/pubmed/34650228
http://dx.doi.org/10.1038/s42003-021-02726-6

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