Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem-Reference-Cited by-同舟云学术

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Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem

Published:2014 Issue: Volume:2 Page:1248-1262
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Szacherski Pascal,Giovannelli Jean-Francois,Gerfault Laurent,Mahe Pierre,Charrier Jean-Philippe,Giremus Audrey,Lacroix Bruno,Grangeat Pierre

Funder

French National Research Agency through the Bayesian Hierarchical Inversion in Proteomics Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/6705689/06910218.pdf?arnumber=6910218

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Machine Learning in Pharmacoproteomics;Pharmacoproteomics;2024

2. Feature selection and classification of noisy proteomics mass spectrometry data based on one-bit perturbed compressed sensing;Bioinformatics;2020-05-16

3. BP$k$ NN: $k$ -Nearest Neighbor Classifier With Pairwise Distance Metrics and Belief Function Theory;IEEE Access;2019

4. Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry;BMC Bioinformatics;2018-03-01

5. Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI-TOF mass spectrometry;Biometrical Journal;2017-12-12

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