Cargando…
基于深度学习的保留时间预测方法的研究进展及应用
In “shotgun” proteomics strategy, the proteome is explained by analyzing tryptic digested peptides using liquid chromatography-mass spectrometry. In this strategy, the retention time of peptides in liquid chromatography separation can be predicted based on the peptide sequence. This is a useful feat...
Autores principales: | DU, Zhuokun, SHAO, Wei, QIN, Weijie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial board of Chinese Journal of Chromatography
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403805/ https://www.ncbi.nlm.nih.gov/pubmed/34227303 http://dx.doi.org/10.3724/SP.J.1123.2020.08015 |
Ejemplares similares
-
基于深度学习的人工智能胸部CT肺结节检测效能评估
Publicado: (2019) -
基于质谱的单细胞蛋白质组学分析方法及应用
por: QIN, Shaojie, et al.
Publicado: (2021) -
孤立性肺结节恶性概率预测模型的研究进展及临床应用
Publicado: (2021) -
深度学习算法在角膜荧光染色分级评估中的应用
Publicado: (2023) -
基于低共熔溶剂的萃取分离技术及其应用研究进展
por: ZHAO, Zexin, et al.
Publicado: (2021)