Cargando…
Multiple Compounds Recognition from The Tandem Mass Spectral Data Using Convolutional Neural Network
Mixtures analysis can provide more information than individual components. It is important to detect the different compounds in the real complex samples. However, mixtures are often disturbed by impurities and noise to influence the accuracy. Purification and denoising will cost a lot of algorithm t...
Autores principales: | Lv, Jiali, Wei, Jian, Wang, Zhenyu, Cao, Jin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943725/ https://www.ncbi.nlm.nih.gov/pubmed/31847456 http://dx.doi.org/10.3390/molecules24244590 |
Ejemplares similares
-
A Convolutional Neural Network for Compound Micro-Expression Recognition
por: Zhao, Yue, et al.
Publicado: (2019) -
Convolutional-de-convolutional neural networks for recognition of surgical workflow
por: Chen, Yu-wen, et al.
Publicado: (2022) -
Tandem mass spectrometry data quality assessment by self-convolution
por: Choo, Keng Wah, et al.
Publicado: (2007) -
Repository scale classification and decomposition of tandem mass spectral data
por: Mongia, Mihir, et al.
Publicado: (2021) -
Strabismus Recognition Using Eye-Tracking Data and Convolutional Neural Networks
por: Chen, Zenghai, et al.
Publicado: (2018)