Targeted proteomics data interpretation with DeepMRM.
Cell Rep Methods
; 3(7): 100521, 2023 07 24.
Article
em En
| MEDLINE
| ID: mdl-37533638
ABSTRACT
Targeted proteomics is widely utilized in clinical proteomics; however, researchers often devote substantial time to manual data interpretation, which hinders the transferability, reproducibility, and scalability of this approach. We introduce DeepMRM, a software package based on deep learning algorithms for object detection developed to minimize manual intervention in targeted proteomics data analysis. DeepMRM was evaluated on internal and public datasets, demonstrating superior accuracy compared with the community standard tool Skyline. To promote widespread adoption, we have incorporated a stand-alone graphical user interface for DeepMRM and integrated its algorithm into the Skyline software package as an external tool.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
/
Proteômica
Tipo de estudo:
Guideline
Idioma:
En
Revista:
Cell Rep Methods
Ano de publicação:
2023
Tipo de documento:
Article