MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks

MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks

Abstract Background Mass spectrometry (MS) has become a promising analytical technique to acquire proteomics information for the characterization of biological samples. Nevertheless, most studies focus on the final proteins identified through a suite of algorithms by using partial MS spectra to comp...

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Bibliographic Details
Main Authors: Shisheng Wang, Hongwen Zhu, Hu Zhou, Jingqiu Cheng, Hao Yang
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Bioinformatics
Subjects:
Raw mass spectrometry data
Proteome profiling
Feature swath extraction
Deep neural networks
Multi-tumor types
Leave-one-out cross prediction strategy
Online Access:http://link.springer.com/article/10.1186/s12859-020-03783-0

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http://link.springer.com/article/10.1186/s12859-020-03783-0

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