HeapMS: An Automatic Peak-Picking Pipeline for Targeted Proteomic Data Powered by 2D Heatmap Transformation and Convolutional Neural Networks

[Image: see text] The process of peak picking and quality assessment for multiple reaction monitoring (MRM) data demands significant human effort, especially for signals with low abundance and high interference. Although multiple peak-picking software packages are available, they often fail to detec...

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Detalles Bibliográficos
Autores principales: Lee, Chi-Ching, Lin, Yu-Chieh, Pan, Teng Yu, Yang, Cheng Hann, Li, Pei-Hsuan, Chen, Sin You, Gao, Jhih Jie, Yang, Chi, Chu, Lichieh Julie, Huang, Po-Jung, Yeh, Yuan-Ming, Tang, Petrus, Chang, Yu-Sun, Yu, Jau-Song, Hsiao, Yung-Chin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603604/
https://www.ncbi.nlm.nih.gov/pubmed/37820297
http://dx.doi.org/10.1021/acs.analchem.3c01011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603604/
https://www.ncbi.nlm.nih.gov/pubmed/37820297
http://dx.doi.org/10.1021/acs.analchem.3c01011

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