Cargando…
DeepIso: A Deep Learning Model for Peptide Feature Detection from LC-MS map
Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based quantitative proteomics provides the relative different protein abundance in healthy and disease-afflicted patients, which offers the information for molecular interactions, signaling pathways, and biomarker identification to serve...
Autores principales: | Zohora, Fatema Tuz, Rahman, M. Ziaur, Tran, Ngoc Hieu, Xin, Lei, Shan, Baozhen, Li, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868186/ https://www.ncbi.nlm.nih.gov/pubmed/31748623 http://dx.doi.org/10.1038/s41598-019-52954-4 |
Ejemplares similares
-
Deep neural network for detecting arbitrary precision peptide features through attention based segmentation
por: Zohora, Fatema Tuz, et al.
Publicado: (2021) -
Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning
por: Guan, Shenheng, et al.
Publicado: (2019) -
Complete De Novo Assembly of Monoclonal Antibody Sequences
por: Tran, Ngoc Hieu, et al.
Publicado: (2016) -
Development of an LC-MS/MS peptide mapping protocol for the NISTmAb
por: Mouchahoir, Trina, et al.
Publicado: (2018) -
Fast and high-throughput LC-MS characterization, and peptide mapping of engineered AAV capsids using LC-MS/MS
por: Lam, Anh K., et al.
Publicado: (2022)